Upload folder using huggingface_hub (part 2)

coco_subset_128_images/predictions/000000477724.json

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+{"file_name": "000000477724.jpg", "predictions": [{"category_id": 6, "bbox": [130, 158, 412, 166], "score": 0.95}]}

coco_subset_128_images/predictions/000000478841.json

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coco_subset_128_images/predictions/000000481222.json

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coco_subset_128_images/predictions/000000486536.json

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coco_subset_128_images/predictions/000000487434.json

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coco_subset_128_images/predictions/000000494273.json

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coco_subset_128_images/predictions/000000497558.json

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coco_subset_128_images/predictions/000000499104.json

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coco_subset_128_images/predictions/000000500271.json

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coco_subset_128_images/predictions/000000505447.json

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coco_subset_128_images/predictions/000000524311.json

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coco_subset_128_images/predictions/000000524559.json

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coco_subset_128_images/predictions/000000538210.json

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coco_subset_128_images/predictions/000000539556.json

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coco_subset_128_images/predictions/000000548979.json

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coco_subset_128_images/predictions/000000551908.json

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coco_subset_128_images/predictions/000000560153.json

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coco_subset_128_images/predictions/000000565296.json

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coco_subset_128_images/predictions/000000567982.json

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coco_subset_128_images/predictions/000000572769.json

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coco_subset_128_images/predictions/000000575173.json

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coco_subset_128_images/predictions/000000578878.json

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coco_subset_128_images/predictions/000000579758.json

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coco_subset_128_images/predictions/schema.json

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+{"task_type": "object-detection", "categories": [{"id": 0, "name": "person"}, {"id": 1, "name": "bicycle"}, {"id": 2, "name": "car"}, {"id": 3, "name": "motorbike"}, {"id": 4, "name": "aeroplane"}, {"id": 5, "name": "bus"}, {"id": 6, "name": "train"}, {"id": 7, "name": "truck"}, {"id": 8, "name": "boat"}, {"id": 9, "name": "traffic light"}, {"id": 10, "name": "fire hydrant"}, {"id": 11, "name": "stop sign"}, {"id": 12, "name": "parking meter"}, {"id": 13, "name": "bench"}, {"id": 14, "name": "bird"}, {"id": 15, "name": "cat"}, {"id": 16, "name": "dog"}, {"id": 17, "name": "horse"}, {"id": 18, "name": "sheep"}, {"id": 19, "name": "cow"}, {"id": 20, "name": "elephant"}, {"id": 21, "name": "bear"}, {"id": 22, "name": "zebra"}, {"id": 23, "name": "giraffe"}, {"id": 24, "name": "backpack"}, {"id": 25, "name": "umbrella"}, {"id": 26, "name": "handbag"}, {"id": 27, "name": "tie"}, {"id": 28, "name": "suitcase"}, {"id": 29, "name": "frisbee"}, {"id": 30, "name": "skis"}, {"id": 31, "name": "snowboard"}, {"id": 32, "name": "sports ball"}, {"id": 33, "name": "kite"}, {"id": 34, "name": "baseball bat"}, {"id": 35, "name": "baseball glove"}, {"id": 36, "name": "skateboard"}, {"id": 37, "name": "surfboard"}, {"id": 38, "name": "tennis racket"}, {"id": 39, "name": "bottle"}, {"id": 40, "name": "wine glass"}, {"id": 41, "name": "cup"}, {"id": 42, "name": "fork"}, {"id": 43, "name": "knife"}, {"id": 44, "name": "spoon"}, {"id": 45, "name": "bowl"}, {"id": 46, "name": "banana"}, {"id": 47, "name": "apple"}, {"id": 48, "name": "sandwich"}, {"id": 49, "name": "orange"}, {"id": 50, "name": "broccoli"}, {"id": 51, "name": "carrot"}, {"id": 52, "name": "hot dog"}, {"id": 53, "name": "pizza"}, {"id": 54, "name": "donut"}, {"id": 55, "name": "cake"}, {"id": 56, "name": "chair"}, {"id": 57, "name": "sofa"}, {"id": 58, "name": "pottedplant"}, {"id": 59, "name": "bed"}, {"id": 60, "name": "diningtable"}, {"id": 61, "name": "toilet"}, {"id": 62, "name": "tvmonitor"}, {"id": 63, "name": "laptop"}, {"id": 64, "name": "mouse"}, {"id": 65, "name": "remote"}, {"id": 66, "name": "keyboard"}, {"id": 67, "name": "cell phone"}, {"id": 68, "name": "microwave"}, {"id": 69, "name": "oven"}, {"id": 70, "name": "toaster"}, {"id": 71, "name": "sink"}, {"id": 72, "name": "refrigerator"}, {"id": 73, "name": "book"}, {"id": 74, "name": "clock"}, {"id": 75, "name": "vase"}, {"id": 76, "name": "scissors"}, {"id": 77, "name": "teddy bear"}, {"id": 78, "name": "hair drier"}, {"id": 79, "name": "toothbrush"}]}

midv_2020_10_samples/README.md

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+A subset of MIDV-2020 dataset downloaded from ftp://smartengines.com/midv-2020/.
+The dataset consists of synthetic government IDs - photos, scans and videos.
+
+Sampled only one ID per country from the original dataset. The files have been downsized
+and compressed.

midv_2020_10_samples/clips_video/alb_id.mp4

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midv_2020_10_samples/clips_video/aze_passport.mp4

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midv_2020_10_samples/clips_video/fin_id.mp4

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midv_2020_10_samples/clips_video/grc_passport.mp4

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midv_2020_10_samples/clips_video/lva_passport.mp4

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midv_2020_10_samples/clips_video/rus_internalpassport.mp4

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midv_2020_10_samples/clips_video/srb_passport.mp4

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midv_2020_10_samples/clips_video/svk_id.mp4

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midv_2020_10_samples/original_license.txt

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+This work is licensed under the Creative Commons Attribution-ShareAlike 2.5 Generic License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/2.5/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
+
+The images of faces were obtained using Generated Photos (https://generated.photos/), the users are encouraged to include the Generated Photos attribution in any derivative works.