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| path: ../datasets/coco # dataset root dir | |
| train: train2017.txt # train images (relative to 'path') 118287 images | |
| val: val2017.txt # val images (relative to 'path') 5000 images | |
| test: test-dev2017.txt # 20288 of 40670 images, submit to https://competitions.codalab.org/competitions/20794 | |
| # Classes | |
| names: | |
| 0: person | |
| 1: bicycle | |
| 2: car | |
| 3: motorcycle | |
| 4: airplane | |
| 5: bus | |
| 6: train | |
| 7: truck | |
| 8: boat | |
| 9: traffic light | |
| 10: fire hydrant | |
| 11: stop sign | |
| 12: parking meter | |
| 13: bench | |
| 14: bird | |
| 15: cat | |
| 16: dog | |
| 17: horse | |
| 18: sheep | |
| 19: cow | |
| 20: elephant | |
| 21: bear | |
| 22: zebra | |
| 23: giraffe | |
| 24: backpack | |
| 25: umbrella | |
| 26: handbag | |
| 27: tie | |
| 28: suitcase | |
| 29: frisbee | |
| 30: skis | |
| 31: snowboard | |
| 32: sports ball | |
| 33: kite | |
| 34: baseball bat | |
| 35: baseball glove | |
| 36: skateboard | |
| 37: surfboard | |
| 38: tennis racket | |
| 39: bottle | |
| 40: wine glass | |
| 41: cup | |
| 42: fork | |
| 43: knife | |
| 44: spoon | |
| 45: bowl | |
| 46: banana | |
| 47: apple | |
| 48: sandwich | |
| 49: orange | |
| 50: broccoli | |
| 51: carrot | |
| 52: hot dog | |
| 53: pizza | |
| 54: donut | |
| 55: cake | |
| 56: chair | |
| 57: couch | |
| 58: potted plant | |
| 59: bed | |
| 60: dining table | |
| 61: toilet | |
| 62: tv | |
| 63: laptop | |
| 64: mouse | |
| 65: remote | |
| 66: keyboard | |
| 67: cell phone | |
| 68: microwave | |
| 69: oven | |
| 70: toaster | |
| 71: sink | |
| 72: refrigerator | |
| 73: book | |
| 74: clock | |
| 75: vase | |
| 76: scissors | |
| 77: teddy bear | |
| 78: hair drier | |
| 79: toothbrush | |
| # stuff names | |
| stuff_names: [ | |
| 'banner', 'blanket', 'branch', 'bridge', 'building-other', 'bush', 'cabinet', 'cage', | |
| 'cardboard', 'carpet', 'ceiling-other', 'ceiling-tile', 'cloth', 'clothes', 'clouds', 'counter', 'cupboard', | |
| 'curtain', 'desk-stuff', 'dirt', 'door-stuff', 'fence', 'floor-marble', 'floor-other', 'floor-stone', 'floor-tile', | |
| 'floor-wood', 'flower', 'fog', 'food-other', 'fruit', 'furniture-other', 'grass', 'gravel', 'ground-other', 'hill', | |
| 'house', 'leaves', 'light', 'mat', 'metal', 'mirror-stuff', 'moss', 'mountain', 'mud', 'napkin', 'net', 'paper', | |
| 'pavement', 'pillow', 'plant-other', 'plastic', 'platform', 'playingfield', 'railing', 'railroad', 'river', 'road', | |
| 'rock', 'roof', 'rug', 'salad', 'sand', 'sea', 'shelf', 'sky-other', 'skyscraper', 'snow', 'solid-other', 'stairs', | |
| 'stone', 'straw', 'structural-other', 'table', 'tent', 'textile-other', 'towel', 'tree', 'vegetable', 'wall-brick', | |
| 'wall-concrete', 'wall-other', 'wall-panel', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'waterdrops', | |
| 'window-blind', 'window-other', 'wood', | |
| # other | |
| 'other', | |
| # unlabeled | |
| 'unlabeled' | |
| ] | |
| # Download script/URL (optional) | |
| download: | | |
| from utils.general import download, Path | |
| # Download labels | |
| #segments = True # segment or box labels | |
| #dir = Path(yaml['path']) # dataset root dir | |
| #url = 'https://github.com/WongKinYiu/yolov7/releases/download/v0.1/' | |
| #urls = [url + ('coco2017labels-segments.zip' if segments else 'coco2017labels.zip')] # labels | |
| #download(urls, dir=dir.parent) | |
| # Download data | |
| #urls = ['http://images.cocodataset.org/zips/train2017.zip', # 19G, 118k images | |
| # 'http://images.cocodataset.org/zips/val2017.zip', # 1G, 5k images | |
| # 'http://images.cocodataset.org/zips/test2017.zip'] # 7G, 41k images (optional) | |
| #download(urls, dir=dir / 'images', threads=3) | |