Datasets:
split string | source_image_sha256 string | source_name string | source_license string | point_labels_are_pseudo bool | human_reviewed bool | image image | id string | width int32 | height int32 | objects dict | semantic string |
|---|---|---|---|---|---|---|---|---|---|---|---|
train | f084c80406c01894cb5e810d842e467edd36482e78999e42ea52e653a4c5c74e | roboflow:smoke-and-fire-detection-22 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | f084c80406c01894cb5e810d842e467edd36482e78999e42ea52e653a4c5c74e | 640 | 640 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 67a83102cb324a36f8cd0c0ebeb25148db80376480e2ffea602c1a98216df3ac | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 67a83102cb324a36f8cd0c0ebeb25148db80376480e2ffea602c1a98216df3ac | 640 | 640 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | f1b86afe3c9c089a8895adc957d616c4d2c937a7dd64d17d57f3723cd217feb4 | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | f1b86afe3c9c089a8895adc957d616c4d2c937a7dd64d17d57f3723cd217feb4 | 750 | 750 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 23980fbe67ff5b93381eae93b27db4c9a0982b1d02427a20838aed542b3420c9 | local-add:fire.v1i.coco.zip | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 23980fbe67ff5b93381eae93b27db4c9a0982b1d02427a20838aed542b3420c9 | 640 | 640 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 196962b3edb479f288863f5e375250206b1d03e669a5d43ccf1f4460aeac6461 | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | 196962b3edb479f288863f5e375250206b1d03e669a5d43ccf1f4460aeac6461 | 3,072 | 2,048 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | fd280df9ec9f22f27cca87c1411a04ca6d33cf5d2ac90960f0acc70ca4d76419 | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | fd280df9ec9f22f27cca87c1411a04ca6d33cf5d2ac90960f0acc70ca4d76419 | 750 | 1,124 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | e9f6acb00c565943ed99d8e05b807ed840617f106bbd5e3254e533cc2c430294 | hf-v1:pyro-sdis | "Apache-2.0" | true | false | e9f6acb00c565943ed99d8e05b807ed840617f106bbd5e3254e533cc2c430294 | 1,280 | 720 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | db41b505d636a8ab143f77dc6f72d8910864e5fce317cd3e653a633684cc4392 | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | db41b505d636a8ab143f77dc6f72d8910864e5fce317cd3e653a633684cc4392 | 1,080 | 785 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | e53e5c08bf8abfd3fe09d199a0caf4ba3c66dc564be8cc3d1239656886ebeedd | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | e53e5c08bf8abfd3fe09d199a0caf4ba3c66dc564be8cc3d1239656886ebeedd | 640 | 640 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 5c2d8d0355db25b605d93bb0730635e533a004797015cbe11c15013c31a533ee | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 5c2d8d0355db25b605d93bb0730635e533a004797015cbe11c15013c31a533ee | 640 | 640 | {
"bbox_xyxy": [
[
218.5,
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515.5
],
[
499,
359,
594,
465
]
],
"point_xy": [
[
425.5,
235.5
],
[
551.5,
438.5
]
],
"point_valid": [
true,
true
],
"source_box_index": [
0,
1
]... | visible_flame | |
train | e3c3e2ea09a93fcc8afe2e4736146f4c0fd6f688a0de454598757ca0a97cb9ce | local-add:fire.v1i.coco.zip | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | e3c3e2ea09a93fcc8afe2e4736146f4c0fd6f688a0de454598757ca0a97cb9ce | 640 | 640 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 2c1a0b870dfbd5153383c44c547f5a51a291e70b0ef89b16d0d92c334a24a9d1 | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | 2c1a0b870dfbd5153383c44c547f5a51a291e70b0ef89b16d0d92c334a24a9d1 | 250 | 250 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | d6c97392cad6b0c625f8d2be6b4fbe531f1949fc17c055abb2256cfd53b46fba | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | d6c97392cad6b0c625f8d2be6b4fbe531f1949fc17c055abb2256cfd53b46fba | 309 | 163 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 5e2f366156166f37c395060bec793fe8eee145e485b9378c67c7b1219f446c53 | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 5e2f366156166f37c395060bec793fe8eee145e485b9378c67c7b1219f446c53 | 640 | 640 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | a4260cb25664aba829715e5cd7f7d2c42c55ffed80b9259dafb800d9b889c968 | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | a4260cb25664aba829715e5cd7f7d2c42c55ffed80b9259dafb800d9b889c968 | 848 | 480 | {
"bbox_xyxy": [
[
312.0003967285156,
311.999755859375,
492.0002746582031,
478.9999084472656
],
[
355.0003662109375,
169.0000762939453,
428.00042724609375,
222.000244140625
]
],
"point_xy": [
[
416.5,
463.5
],
[
396.5,
... | visible_flame | |
train | ab6c44f48f2210467a67a23366bbbe4b4a86f314d57f6ed981b5fef56092b03b | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | ab6c44f48f2210467a67a23366bbbe4b4a86f314d57f6ed981b5fef56092b03b | 1,920 | 1,080 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | a3a9372fe12f854ebb50fcbd07080b7c288cccce5a6f21abb873cc2129ff6acd | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | a3a9372fe12f854ebb50fcbd07080b7c288cccce5a6f21abb873cc2129ff6acd | 640 | 640 | {
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[
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421
]
],
"point_xy": [
[
320.5,
377.5
]
],
"point_valid": [
true
],
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1
],
"point_sample_id": [
"f9b121854de3b93eba8111788793d5c293399fa6bca5c5aec1207da35461087b"
]
} | visible_flame | |
train | a6d256045b5c69c5d40b059851afa55ac3c3ba43254ed3727e7608c105d7c4ee | hf-v1:pyro-sdis | "Apache-2.0" | true | false | a6d256045b5c69c5d40b059851afa55ac3c3ba43254ed3727e7608c105d7c4ee | 1,280 | 720 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 1f3d4ac3bbbe6eb11cb412b815b1b3a0c8bdca76fa4db6474533db13dad85bd1 | hf-v1:pyro-sdis | "Apache-2.0" | true | false | 1f3d4ac3bbbe6eb11cb412b815b1b3a0c8bdca76fa4db6474533db13dad85bd1 | 1,280 | 720 | {
"bbox_xyxy": [],
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"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 769debfd4faad57b05238e0f41887f6d539b1121fdf6fff7990eff416fa4a0cd | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | 769debfd4faad57b05238e0f41887f6d539b1121fdf6fff7990eff416fa4a0cd | 1,920 | 1,080 | {
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[
1044.0009765625,
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],
[
1047.0009765625,
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]
],
"point_xy": [
[
1076.5,
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],
[
1076.5,
... | visible_flame | |
train | 6e60d07f239b108104c0b2a2328ff2dda71622fcb649c3c7af4bfbe3fad8ab70 | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | 6e60d07f239b108104c0b2a2328ff2dda71622fcb649c3c7af4bfbe3fad8ab70 | 2,048 | 1,536 | {
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"point_sample_id": []
} | visible_flame | |
train | b8d482dd612f63cac86e660441260f74cb21e217ef3a413dc190de934e7fb4c5 | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | b8d482dd612f63cac86e660441260f74cb21e217ef3a413dc190de934e7fb4c5 | 640 | 640 | {
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"point_sample_id": []
} | visible_flame | |
train | 4887a757a0280b81b73f1dc63734bdbb6b9074f9fc764e6dc043a9e195ae59e0 | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 4887a757a0280b81b73f1dc63734bdbb6b9074f9fc764e6dc043a9e195ae59e0 | 640 | 640 | {
"bbox_xyxy": [
[
224.5,
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]
],
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[
306.5,
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],
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]
} | visible_flame | |
train | cf2bb5a87d2ce60f176dc017396d1f955a636755abad17afab9ab7d5d44ec49b | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | cf2bb5a87d2ce60f176dc017396d1f955a636755abad17afab9ab7d5d44ec49b | 719 | 378 | {
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} | visible_flame | |
train | f801816a1485bd6e96be50ba2f1328f1b86bdeac1e1890c2d0cddae928eae45e | hf-v1:pyro-sdis | "Apache-2.0" | true | false | f801816a1485bd6e96be50ba2f1328f1b86bdeac1e1890c2d0cddae928eae45e | 1,280 | 720 | {
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"point_sample_id": []
} | visible_flame | |
train | 126d7ab7f2f4053fb01ea17c6d976226a7b7ece95b0afddc40dbea5474ea61c4 | local-add:fire.v1i.coco.zip | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 126d7ab7f2f4053fb01ea17c6d976226a7b7ece95b0afddc40dbea5474ea61c4 | 640 | 640 | {
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"point_sample_id": []
} | visible_flame | |
train | ecbf238e42ad98852757e0c7707f63c34e54286117e26d610c9cc7a42079eaf4 | hf-v1:pyro-sdis | "Apache-2.0" | true | false | ecbf238e42ad98852757e0c7707f63c34e54286117e26d610c9cc7a42079eaf4 | 1,280 | 720 | {
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} | visible_flame | |
train | 54a52def3f73f7416ea9e7ecca96e08e643a493254365797ccafabfecfce82a0 | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | 54a52def3f73f7416ea9e7ecca96e08e643a493254365797ccafabfecfce82a0 | 512 | 384 | {
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"point_sample_id": []
} | visible_flame | |
train | 44c9927912416c0588e0807db3fc21cced25a729eab315cc756f1dda15728646 | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 44c9927912416c0588e0807db3fc21cced25a729eab315cc756f1dda15728646 | 640 | 640 | {
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[
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339.25
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],
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[
310.5,
398.5
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[
176.5,
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],
"point_valid": [
true,
true
],
"source_box_index": [
0,
2... | visible_flame | |
train | 80296bf3cb939fb3028540131ca0954bd4ee37c3cae76dc85170c778bafe0089 | roboflow:smoke-and-fire-detection-22 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 80296bf3cb939fb3028540131ca0954bd4ee37c3cae76dc85170c778bafe0089 | 640 | 640 | {
"bbox_xyxy": [
[
172,
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333.5,
438.5
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],
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[
303.5,
363.5
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],
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true
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0
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"8b3a75e51b6ab869877d7a78de27291c4b140bb2b48019d5bbc9f151df1994ea"
]
} | visible_flame | |
train | acdc5909071b2854ada4b948b94bae70cc5672bbd3acab7fe7ceb6b5e73087bf | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | acdc5909071b2854ada4b948b94bae70cc5672bbd3acab7fe7ceb6b5e73087bf | 640 | 640 | {
"bbox_xyxy": [
[
294,
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[
273,
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435,
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],
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[
330.5,
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[
313.5,
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],
"point_valid": [
true,
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0,
1
],
... | visible_flame | |
train | e614b96b6ae65e42700e9bf55817aa2d6fd8ab2b64fa7ce189ad526ddfcd4627 | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | e614b96b6ae65e42700e9bf55817aa2d6fd8ab2b64fa7ce189ad526ddfcd4627 | 260 | 336 | {
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} | visible_flame | |
train | 3e7125aa0f0bc2f61c9840725f43a08e8f0c34b48fdc667343c51d105cb43bfe | roboflow:smoke-and-fire-detection-22 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 3e7125aa0f0bc2f61c9840725f43a08e8f0c34b48fdc667343c51d105cb43bfe | 640 | 640 | {
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],
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[
263.5,
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],
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0
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]
} | visible_flame | |
train | 12eef82a1498c15f9885ab273fb79765bd70bda82ebecc63f8032d3e02f3b93b | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 12eef82a1498c15f9885ab273fb79765bd70bda82ebecc63f8032d3e02f3b93b | 640 | 640 | {
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[
250.5,
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],
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[
276.5,
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"f966954ac5c2848fb63b7548f180a0f36491e927f2c5da927c2cb736c73a5ade"
]
} | visible_flame | |
train | f11261f3274d979bca18e53f7d0c7d18fd3fce6adcc7c56f3008790a8c52ae29 | local-add:fire.v1i.coco.zip | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | f11261f3274d979bca18e53f7d0c7d18fd3fce6adcc7c56f3008790a8c52ae29 | 640 | 640 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | c197b49fc3af9bcfd5bbfcb0d3a1301b760753abd2c012aecfbd49b931b1d0d2 | roboflow:smoke-and-fire-detection-22 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | c197b49fc3af9bcfd5bbfcb0d3a1301b760753abd2c012aecfbd49b931b1d0d2 | 640 | 640 | {
"bbox_xyxy": [
[
151,
3,
277,
447.5
],
[
282,
280,
466.5,
444.5
],
[
386,
162,
456.5,
279
]
],
"point_xy": [
[
199.5,
326.5
],
[
353.5,
430.5
],
[
424.5,
277.5
... | visible_flame | |
train | c1c5f95a9bd3a413fd51b6650261598809745126cd1fed9bf7d51374e9020b5c | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | c1c5f95a9bd3a413fd51b6650261598809745126cd1fed9bf7d51374e9020b5c | 704 | 704 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
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train | 59ef838385ac1a77ade1c39b64d98c3f97a0b4829d425bc4f9cb4b39fdefb37b | roboflow:smoke-and-fire-detection-22 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 59ef838385ac1a77ade1c39b64d98c3f97a0b4829d425bc4f9cb4b39fdefb37b | 640 | 640 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 84e913b467761887a999f94bacfd728933b360a7ae4da72b20d72514b99948c2 | local-add:fire.v1i.coco.zip | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 84e913b467761887a999f94bacfd728933b360a7ae4da72b20d72514b99948c2 | 640 | 640 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 849d97574e870a6021580e7cbb8c7631d0c61ebabef88619549b0ca081b1435c | roboflow:smoke-and-fire-detection-22 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 849d97574e870a6021580e7cbb8c7631d0c61ebabef88619549b0ca081b1435c | 640 | 640 | {
"bbox_xyxy": [
[
183,
400,
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498
]
],
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[
231.5,
494.5
]
],
"point_valid": [
true
],
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1
],
"point_sample_id": [
"28197b67f9e1ce4223da7872dacf9be95f033c2c0f31224abdee36b03ef22fce"
]
} | visible_flame | |
train | aab69354331aac64c6b85b14b7c562ade735449ebcde3f93d58b1be8f0e72aea | roboflow:smoke-and-fire-detection-22 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | aab69354331aac64c6b85b14b7c562ade735449ebcde3f93d58b1be8f0e72aea | 640 | 640 | {
"bbox_xyxy": [
[
244,
195,
401.5,
393
]
],
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[
297.5,
377.5
]
],
"point_valid": [
true
],
"source_box_index": [
0
],
"point_sample_id": [
"50e4e117d05d6cfcff27aa7d436a22a32a3a86f92478f9da297c64cfebe07d17"
]
} | visible_flame | |
train | 2083fdb6e8f81ea1682ae2f68782ce639d6264b7b824a5fef1e5258f15c7b017 | hf-v1:pyro-sdis | "Apache-2.0" | true | false | 2083fdb6e8f81ea1682ae2f68782ce639d6264b7b824a5fef1e5258f15c7b017 | 1,280 | 720 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | fd1a6a5a3676c34541f1e5819b4adab04cde879d80bb1bc6b781826dc693ba3a | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | fd1a6a5a3676c34541f1e5819b4adab04cde879d80bb1bc6b781826dc693ba3a | 750 | 750 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 59af3f1788739c3a1b869aa41bf6c6e9ff674a555a9c66e4a6fade35442cadf5 | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 59af3f1788739c3a1b869aa41bf6c6e9ff674a555a9c66e4a6fade35442cadf5 | 640 | 640 | {
"bbox_xyxy": [
[
227,
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]
],
"point_xy": [
[
253.5,
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],
"point_valid": [
true
],
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1
],
"point_sample_id": [
"464685d720dd64bb1f2a986eace2bff451fbe76ee72ea5af2b3931557993a1f1"
]
} | visible_flame | |
train | cf7477c3fcb0daea0a1dc17dd04b56a5e0ad7dca0fe9f80ccd218bc7bddc2629 | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | cf7477c3fcb0daea0a1dc17dd04b56a5e0ad7dca0fe9f80ccd218bc7bddc2629 | 640 | 640 | {
"bbox_xyxy": [
[
374.5,
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474.5,
482
],
[
485.5,
257,
524.5,
327
]
],
"point_xy": [
[
413.5,
406.5
],
[
508.5,
309.5
]
],
"point_valid": [
true,
true
],
"source_box_index": [
0,
2
... | visible_flame | |
train | 40510c457f9392396303cc0dea0bc1d3aaa5efbd796fe8ad0c4ba84517ee2cfc | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 40510c457f9392396303cc0dea0bc1d3aaa5efbd796fe8ad0c4ba84517ee2cfc | 640 | 640 | {
"bbox_xyxy": [
[
196,
65.5,
317,
341.5
],
[
232.75,
346.5,
291.25,
415.5
]
],
"point_xy": [
[
292.5,
296.5
],
[
271.5,
401.5
]
],
"point_valid": [
true,
true
],
"source_box_index": [
0,
... | visible_flame | |
train | b41d2352420b2b3e68e33e58b860bc662214ee09ca06895ea0d6e03d5ea53f4e | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | b41d2352420b2b3e68e33e58b860bc662214ee09ca06895ea0d6e03d5ea53f4e | 700 | 571 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | e3c5ed0ae7fb5da47ff04447aaec2425a4fe2bf9b54439296ed8f68a0a84c713 | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | e3c5ed0ae7fb5da47ff04447aaec2425a4fe2bf9b54439296ed8f68a0a84c713 | 490 | 367 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | e153dc3aea22b59481a60dd546edfdad8060cc7630b83229df0b381f311c1fe2 | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | e153dc3aea22b59481a60dd546edfdad8060cc7630b83229df0b381f311c1fe2 | 650 | 650 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | b604fb2f9bddcb2d4ee1b8d7e0f97f6f2c0ff15ddaaf43f00d205b5b6192bc1e | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | b604fb2f9bddcb2d4ee1b8d7e0f97f6f2c0ff15ddaaf43f00d205b5b6192bc1e | 600 | 400 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 2580e7216cd8bd387a6601b5690fce9c88df03e82f4ced15c9953d010b00ca95 | roboflow:smoke-and-fire-detection-22 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 2580e7216cd8bd387a6601b5690fce9c88df03e82f4ced15c9953d010b00ca95 | 640 | 640 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 00fd5d6c71fc779601c68575aeb83035caa1d28c02c38db5830409991e40d32b | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | 00fd5d6c71fc779601c68575aeb83035caa1d28c02c38db5830409991e40d32b | 1,920 | 1,080 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | e80d0da34247c91412f09a79d6fb5688921ad187e8bad58e13db2e1649d724ef | hf-v1:fasdd | "CC-BY-SA-4.0" | true | false | e80d0da34247c91412f09a79d6fb5688921ad187e8bad58e13db2e1649d724ef | 914 | 1,278 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 3ae508245bacdc41377292b8d65a2e2cbdf22ef07d6e5b3d091f797499f81276 | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 3ae508245bacdc41377292b8d65a2e2cbdf22ef07d6e5b3d091f797499f81276 | 640 | 640 | {
"bbox_xyxy": [
[
238.25,
491.5,
265.75,
523.5
],
[
270.75,
464,
291.25,
511
],
[
350.25,
492.25,
359.75,
503.75
],
[
453.75,
494,
466.25,
519
]
],
"point_xy": [
[
253.5,
... | visible_flame | |
train | c2f887186e20644ad913c93b4714ac19db2c8fc61833dafdaa515b2ea2ebcafe | hf-v1:pyro-sdis | "Apache-2.0" | true | false | c2f887186e20644ad913c93b4714ac19db2c8fc61833dafdaa515b2ea2ebcafe | 1,280 | 720 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | e9aaccc1b4d0785e349f2c852c291275786ae4340292eb97df32678e797da626 | hf-v1:pyro-sdis | "Apache-2.0" | true | false | e9aaccc1b4d0785e349f2c852c291275786ae4340292eb97df32678e797da626 | 1,280 | 720 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 65dd48452cf4cfe59ddd1d79b2d18483bff7baa50eff16b56872f88005436924 | roboflow:smoke-and-fire-detection-22 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 65dd48452cf4cfe59ddd1d79b2d18483bff7baa50eff16b56872f88005436924 | 640 | 640 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 57d75a5b26b0cd92acaabeb5fe79c5dc8892bb37652e4ad64334616f30972cab | local-add:fire.v1i.coco.zip | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 57d75a5b26b0cd92acaabeb5fe79c5dc8892bb37652e4ad64334616f30972cab | 640 | 640 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame | |
train | 92c7d63c24489c1eb58337e73f014bd68eb66e58d70a4a186aebfcbee4391862 | roboflow:détection-d'incendie-2 | "[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]" | true | false | 92c7d63c24489c1eb58337e73f014bd68eb66e58d70a4a186aebfcbee4391862 | 640 | 640 | {
"bbox_xyxy": [],
"point_xy": [],
"point_valid": [],
"source_box_index": [],
"point_sample_id": []
} | visible_flame |
- English — full images with multiple flame points
- Français — images entières multipoints
- Row schema and independent annotations / Schéma et annotations séparées
- Loading and structural QA / Chargement et QA structurelle
- Annotation method / Méthode d'annotation
- Provenance, splits and rights / Provenance, partitions et droits
- Appropriate use and limitations / Usage et limites
- References / Références
v2.5-visible-flame-full-image-multipoint
English — full images with multiple flame points
46,576 train / 7,647 validation images, original archive bytes and dimensions. Flame boxes: 31,908 / 1,950. Valid points: 30,460 / 1,812. Missing point targets: 1,448 / 138. Positive images: 13,199 / 578; remaining 33,377 / 7,069 images are negative for annotated visible flame and may contain smoke. Maximum annotated flame boxes per image: 34 train / 22 validation. These are original-image counts, not ROI counts.
All original flame boxes are retained even when pseudo-point generation abstains. Such objects carry point_valid=False and point_xy=None; ignore their point loss, retain their detection target. Never substitute (0,0), bbox centre or background. This dataset is an image-level reconstruction of v2.5-visible-flame-crop-monopoint. It supports future multipoint detection research; no satisfactory D-FINE multipoint checkpoint is published. The usable baseline is rfdetr-medium-visible-flame-v2.5 plus dinov2-small-visible-flame-monopoint-v2.5 applied per detection.
Français — images entières multipoints
46 576 images train et 7 647 validation, avec 31 908 / 1 950 boîtes flamme et 30 460 / 1 812 points valides. Les 1 448 / 138 cibles de point manquantes restent nulles : ignorer seulement leur loss de point et conserver la boîte comme cible de détection. Les images sans flamme annotée restent des négatifs utiles, même si elles contiennent de la fumée. Le corpus sert au multipoint futur ; aucun D-FINE multipoint satisfaisant n'est annoncé.
Row schema and independent annotations / Schéma et annotations séparées
image, original-image SHA ID, source and rights metadata, width/height, pseudo-label flags; objects is a dictionary of aligned lists, not a list of dictionaries: bbox_xyxy, point_xy, point_valid, source_box_index, point_sample_id. Each valid point has two floats; each unavailable point is null. Empty objects lists mean annotated-negative images. Boxes and points use original-image pixels. COCO detection annotations live in annotations/<split>.boxes.coco.json with category ID 1=visible_flame and xywh boxes. Point targets are a separate annotations/<split>.points.json, joined by annotation/image ID; they are not disguised as COCO boxes.
objects contient des listes alignées de boîtes xyxy, points et validité. Les cibles nulles sont explicites. Les fichiers COCO de détection utilisent xywh et catégorie 1 ; les points sont dans un fichier distinct, joint par identifiants. Cette séparation empêche de traiter un point ignoré comme un négatif de détection.
Loading and structural QA / Chargement et QA structurelle
from datasets import load_dataset
ds = load_dataset('fireviewer/v2.5-visible-flame-full-image-multipoint', split='train', streaming=True)
row = next(iter(ds))
Some clients expose an embedded image as {'bytes': ..., 'path': ...}; cast to datasets.Image() or decode the bytes with PIL explicitly. No custom loading script or automatic remote code is required. DATA_FILES_MANIFEST.json records payload SHA-256 and size; release.json records parent revision, split counts and generator identity. Every original image hash/dimension, crop bounds, valid point range and reprojection was checked. Parquet shards were reread after writing, and Drive copies were hash-verified. These are structural checks, not a semantic human audit.
Selon le client, l'image embarquée est un objet Image ou un dictionnaire d'octets : décodez-le explicitement. Les manifestes conservent tailles et hashes. Les contrôles de coordonnées, d'octets et de copie Drive ne remplacent pas une revue humaine des points.
Annotation method / Méthode d'annotation
EN. Points are deterministic pseudo-labels called flame_base_anchor. SAM 2.1 Hiera Large is prompted inside each tight original flame-box crop, never on the complete image. Integer crops use floor for the top-left and ceil for the bottom-right, clamped to image dimensions, without context. The highest SAM predicted-IoU candidate mask is used; that score is uncalibrated. The initial target is the mask-bounding-box horizontal centre and y = mask centre + 0.35 × mask height, i.e. 85% from its top. The point is moved to an allowed flame-colour region near that target: HSV red/orange/yellow (hue 0–65 or 350–360, saturation ≥0.35, value ≥0.35), or luminous white (saturation ≤0.22, value ≥0.82). Local golden-yellow pixels (35–65°, saturation ≥0.35, value ≥0.65) are preferred. Intensity combines 0.7 HSV value and 0.3 linear-RGB luminance; the upper local quartile is retained. An eight-connected component is chosen by weighted intensity mass; its weighted centroid is projected inside a robust component core using the distance transform. Pixel-centre coordinates use +0.5. Empty masks or colour support cause abstention, not fabricated coordinates.
FR. Les points sont des pseudo-annotations déterministes flame_base_anchor. SAM 2.1 fonctionne uniquement dans le crop serré de chaque boîte flamme : aucun contexte ajouté, coordonnées arrondies vers l'extérieur et limitées à l'image. Le masque au meilleur IoU prédit est retenu, sans interpréter ce score comme une confiance calibrée. La cible initiale est au centre horizontal du masque et à 85% de sa hauteur depuis le sommet. Elle est rapprochée des pixels rouge/orange/jaune/blanc lumineux admissibles, avec préférence pour le jaune doré local et les pixels intenses. La composante connexe ayant la masse d'intensité dominante fournit un centroïde, ensuite projeté dans son cœur robuste. Sans masque ou couleur admissible, la génération s'abstient.
This is an appearance-based anchor convention, not an ignition point, geographic fire origin, physical temperature measurement, or one point per incident. The accepted pilot contained 50 boxes from 28 images, with 48 resolved points; the user accepted the green crosses. That acceptance does not validate every corpus annotation. Every public row remains human_reviewed=False and point_labels_are_pseudo=True.
Cette convention fournit une ancre visuelle, pas une origine physique du feu ni un point par foyer. Le pilote accepté comportait 50 boîtes sur 28 images, dont 48 points résolus. Cette acceptation ne vaut pas revue de l'ensemble : chaque ligne publique conserve le statut de pseudo-annotation non revue individuellement.
SAM source: facebook/sam2.1-hiera-large, revision 665f8e2ad61cf5f53d65644ff27c8ee525124610; weights SHA-256 dc407dce21301fd94abb395c5099b4f2c455fdc8a8f261ac3d0ea6d4cd197230.
Corpus key: 06001121391d953d12379a97315089bf273f1ac5e9d21067b061638010d17abd.
Point dataset key: 4c1b4ad38ca3c6b8b8120094c6714a81383c57ad8f57690adaff1d38644c2aa7.
Provenance, splits and rights / Provenance, partitions et droits
EN. Derived from v2.5-box-precise-and-multi-source-suplement, original payload revision 5e268f93fb6fad11262123a76bd3579addcf8ea4. Image membership follows the parent's split and original-image SHA-256; every crop of one image stays in its split. Exact-image and decoded-image leakage checks passed upstream. Related frames/events may still occur across splits because complete incident metadata are unavailable. Do not claim event-independent evaluation. The archive fingerprint is 7f0a7d63b9c2b308f786f2b564ef3f1f1c9fc07926d3277d7579c6599a2f3d65.
FR. Le corpus dérive du dataset principal, révision des données indiquée ci-dessus. Les crops suivent la partition et l'empreinte de leur image d'origine. Les contrôles de doublons ne suffisent pas à garantir l'indépendance des événements ou des séquences ; les métadonnées d'incidents sont incomplètes.
Only source rows with recorded public redistribution permission are exported. MyData_Fire (Private) and With-Augmentation-Big-1 (undocumented redistribution permission) are excluded. Images retain source-specific licenses: FASDD CC-BY-SA-4.0, Pyro-SDIS Apache-2.0 and recorded licenses for the local/Roboflow additions. license: other is intentional; derivative annotations and packaging do not grant new image rights. Retain source_license, LICENSE, source notices and HF source rights. The notices include source URLs and attribution; they are the authority for reuse, not this summary.
Seules les lignes dont les droits de redistribution publique sont documentés sont exportées. Les images conservent leurs licences propres et leurs attributions ; les annotations dérivées ne les remplacent pas. Conservez les champs par ligne et les notices. Les sources privées ou sans autorisation documentée sont exclues.
Appropriate use and limitations / Usage et limites
Research on visible fire perception, domain-specific detection and localization. No exhaustive human QA, complete incident coverage, demographic/geographic balance or scientific claim about physical fire origin is established. Source boxes can be incomplete or noisy; chromatic heuristics can select luminous non-flame texture. Reevaluate on independently labeled scenes before deployment. TEST was not consulted for point generation, selection or this release.
Recherche en perception et localisation visuelle du feu. Aucune revue humaine exhaustive, représentativité géographique complète ou localisation physique de l'origine n'est établie. Les boîtes sources peuvent être incomplètes et les heuristiques de couleur peuvent sélectionner une texture lumineuse incorrecte. Une validation humaine indépendante reste nécessaire. Le TEST n'est pas utilisé pour les points ou leur sélection.
References / Références
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