add coco panoptic mapping
Browse files- README.md +1 -0
- coco-panoptic-id2label.json +135 -0
README.md
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@@ -4,6 +4,7 @@ Current datasets include:
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- ImageNet-1k
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- ImageNet-22k (also called ImageNet-21k as there are 21,843 classes)
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- COCO detection 2017
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- ADE20k (actually, the [MIT Scene Parsing benchmark](http://sceneparsing.csail.mit.edu/), which is a subset of ADE20k)
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- Cityscapes
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- VQAv2
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- ImageNet-1k
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- ImageNet-22k (also called ImageNet-21k as there are 21,843 classes)
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- COCO detection 2017
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+
- COCO panoptic 2017
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- ADE20k (actually, the [MIT Scene Parsing benchmark](http://sceneparsing.csail.mit.edu/), which is a subset of ADE20k)
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- Cityscapes
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- VQAv2
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coco-panoptic-id2label.json
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@@ -0,0 +1,135 @@
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{
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"0": "person",
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"1": "bicycle",
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"2": "car",
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"3": "motorcycle",
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"4": "airplane",
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"5": "bus",
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"6": "train",
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"7": "truck",
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"8": "boat",
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"9": "traffic light",
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"10": "fire hydrant",
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"11": "stop sign",
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"12": "parking meter",
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"13": "bench",
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"14": "bird",
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"15": "cat",
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"16": "dog",
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"17": "horse",
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"18": "sheep",
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"19": "cow",
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"20": "elephant",
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"21": "bear",
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"22": "zebra",
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"23": "giraffe",
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"24": "backpack",
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"25": "umbrella",
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"26": "handbag",
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"27": "tie",
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"28": "suitcase",
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"29": "frisbee",
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"30": "skis",
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"31": "snowboard",
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"32": "sports ball",
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"33": "kite",
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"34": "baseball bat",
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"35": "baseball glove",
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"36": "skateboard",
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"37": "surfboard",
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"38": "tennis racket",
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"39": "bottle",
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"40": "wine glass",
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"41": "cup",
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"42": "fork",
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"43": "knife",
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"44": "spoon",
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"45": "bowl",
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"46": "banana",
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"47": "apple",
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"48": "sandwich",
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"49": "orange",
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"50": "broccoli",
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"51": "carrot",
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"52": "hot dog",
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"53": "pizza",
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"54": "donut",
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"55": "cake",
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"56": "chair",
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"57": "couch",
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"58": "potted plant",
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"59": "bed",
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"60": "dining table",
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"61": "toilet",
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"62": "tv",
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"63": "laptop",
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"64": "mouse",
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"65": "remote",
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"66": "keyboard",
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"67": "cell phone",
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"68": "microwave",
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"69": "oven",
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"70": "toaster",
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"71": "sink",
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"72": "refrigerator",
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"73": "book",
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"74": "clock",
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"75": "vase",
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"76": "scissors",
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"77": "teddy bear",
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"78": "hair drier",
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"79": "toothbrush",
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"80": "banner",
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"81": "blanket",
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"82": "bridge",
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"83": "cardboard",
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"84": "counter",
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"85": "curtain",
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"86": "door-stuff",
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"87": "floor-wood",
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"88": "flower",
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"89": "fruit",
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"90": "gravel",
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"91": "house",
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"92": "light",
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"93": "mirror-stuff",
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"94": "net",
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"95": "pillow",
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"96": "platform",
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"97": "playingfield",
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"98": "railroad",
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"99": "river",
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"100": "road",
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"101": "roof",
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"102": "sand",
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"103": "sea",
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"104": "shelf",
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"105": "snow",
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"106": "stairs",
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"107": "tent",
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"108": "towel",
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"109": "wall-brick",
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"110": "wall-stone",
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"111": "wall-tile",
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"112": "wall-wood",
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"113": "water-other",
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"114": "window-blind",
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"115": "window-other",
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"116": "tree-merged",
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"117": "fence-merged",
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"118": "ceiling-merged",
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"119": "sky-other-merged",
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"120": "cabinet-merged",
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"121": "table-merged",
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"122": "floor-other-merged",
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"123": "pavement-merged",
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"124": "mountain-merged",
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"125": "grass-merged",
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"126": "dirt-merged",
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"127": "paper-merged",
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"128": "food-other-merged",
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"129": "building-other-merged",
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"130": "rock-merged",
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"131": "wall-other-merged",
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"132": "rug-merged"
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}
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