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roboflow_smoke-and-fire-detection-22_image_71_jpg.rf.ed77c51ee577eeab9a9dec0c4575919c.jpg
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train
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roboflow:smoke-and-fire-detection-22
train/image_71_jpg.rf.ed77c51ee577eeab9a9dec0c4575919c.jpg
[{"id": 1, "url": "https://creativecommons.org/licenses/by/4.0/", "name": "CC BY 4.0"}]
original_roboflow_coco_sha256_paired
false
{ "id": [ 59201 ], "bbox": [ [ 306, 73, 193.5, 251 ] ], "area": [ 48568.5 ], "category": [ 1 ], "iscrowd": [ 0 ] }
34,566
train/local_small_-237-_jpg.rf.600e4acfc8d23a5b3664ac7014b3df9a.jpg
local_small_-237-_jpg.rf.600e4acfc8d23a5b3664ac7014b3df9a.jpg
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train/small_-237-_jpg.rf.600e4acfc8d23a5b3664ac7014b3df9a.jpg
[{"id": 1, "url": "https://creativecommons.org/licenses/by/4.0/", "name": "CC BY 4.0"}]
original_local_source_namespace_and_geometry_matched
true
{ "id": [], "bbox": [], "area": [], "category": [], "iscrowd": [] }
54,191
train/roboflow_détection-d'incendie-2_Screenshot-2024-02-06-111821_png_jpg.rf.8ec5a56822db161df6d26ed1f2fb553d.jpg
roboflow_détection-d'incendie-2_Screenshot-2024-02-06-111821_png_jpg.rf.8ec5a56822db161df6d26ed1f2fb553d.jpg
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train/Screenshot-2024-02-06-111821_png_jpg.rf.8ec5a56822db161df6d26ed1f2fb553d.jpg
[{"id": 1, "url": "https://creativecommons.org/licenses/by/4.0/", "name": "CC BY 4.0"}]
original_roboflow_coco_sha256_paired
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{ "id": [], "bbox": [], "area": [], "category": [], "iscrowd": [] }
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v2.5 box precise and multi source suplement

64,061 public images, from the final deduplicated trainv2.5final1 corpus. 7,574 retained MyData_Fire images and all their annotations are excluded because their source metadata says Private. The ongoing training corpus is preserved separately.

A further 12,025 images from sources with undocumented redistribution rights are held outside this public release.

Separate annotation variants

Configuration Categories COCO annotations
fire_smoke 0 = fire, 1 = smoke annotations/fire_smoke/
probable_fire 0 = probable fire annotations/probable_fire/

Both variants contain exactly the same images, bytes and train/validation/test membership. Boxes use COCO xywh pixels at original archive dimensions. Fire includes the original flame/fire categories; smoke retains its source category. The probable-fire annotations match the current training annotations for every admitted public image. Identical fire and smoke boxes may be represented twice in the separate-class variant.

Split Images Fire boxes Smoke boxes Probable-fire boxes
train 46576 31908 27858 59766
validation 7647 1950 3547 5497
test 9838 6983 6354 13337

Loading

from datasets import load_dataset
ds = load_dataset("fireviewer/v2.5-box-precise-and-multi-source-suplement", "fire_smoke", split="train", streaming=True)
merged = load_dataset("fireviewer/v2.5-box-precise-and-multi-source-suplement", "probable_fire", split="train", streaming=True)

Use prepare_coco.py to materialize native images and the selected COCO annotations in a remote CPU runtime. No image resizing or recompression is performed during this publication. Keep test for final evaluation.

Source mapping and checks

The legacy HF source maps 0 to smoke and 1 to fire; local exports have their own namespaces. Publication never uses a universal interpretation of input YOLO IDs. Original Roboflow COCO category names are recovered through the retained image-pairing records. Every published image hash, dimension, final box, split count and Parquet row is checked before upload. See DATA_FILES_MANIFEST.json, provenance/release-input.json and provenance/source-notices.json.

The title is a version name, not a claim of exhaustive human validation or mathematically exact boundaries. Some source boxes were automatically tightened in the upstream archive. The original authority is retained; source pairing and structural checks do not establish the semantic correctness of every box. Known duplicate groups have been removed; unseen related scenes remain possible.

Sources and rights

There is no blanket licence for all images. Repository metadata uses license: other. Retain the per-row source licence and the source notices. This release grants no new image rights. Private MyData_Fire images, labels and source records are not published.

  • hf-v1:fasdd: 29005 images.
  • hf-v1:pyro-sdis: 9414 images.
  • local-add:Small Fire Smoke OD Dataset.v6i.coco.zip: 1186 images.
  • local-add:fire.v1i.coco.zip: 7877 images.
  • roboflow:détection-d'incendie-2: 10321 images.
  • roboflow:mixfirSmok-12: 2411 images.
  • roboflow:smoke-and-fire-detection-22: 3847 images.

Source attribution and redistribution conditions are retained in provenance/hf-source-rights.json. FASDD images and their adaptations retain CC-BY-SA-4.0; Pyro-SDIS images retain Apache-2.0. Roboflow additions retain their individual recorded licences. Changes in this release: public-source selection, upstream box refinements, strict duplicate removal, source-specific category recovery and packaging of two annotation variants.

  • FASDD: Ming Wang, Peng Yue, Liangcun Jiang, Dayu Yu, Tianyu Tuo and Jian Li; FASDD / Science Data Bank. CC-BY-SA-4.0.

  • Pyro-SDIS: Pyronear contributors, volunteer annotators and partner SDIS; Pyro-SDIS Dataset, 2024. Apache-2.0.

Legacy HF annotations are traced to fireviewer/fire-smoke-detection-corpus-v1. Archive SHA-256: 7f0a7d63b9c2b308f786f2b564ef3f1f1c9fc07926d3277d7579c6599a2f3d65. Training-corpus fingerprint: ab4360d4ef3f6e1f419a317b9d8ddff5602c8e3e3394babd1bd0f3faa8916efe.

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