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- # Ultralytics YOLO 🚀, AGPL-3.0 license
- # COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
- # Example usage: yolo train data=coco128.yaml
- # parent
- # ├── ultralytics
- # └── datasets
- # └── coco128 ← downloads here (7 MB)
- # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
- path: ../datasets/coco128 # dataset root dir
- train: images/train2017 # train images (relative to 'path') 128 images
- val: images/train2017 # val images (relative to 'path') 128 images
- test: # test images (optional)
- # 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
- # Download script/URL (optional)
- download: https://ultralytics.com/assets/coco128.zip
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