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test_image/FLIR.yaml ADDED
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+ train: VOCdevkit\images\train # 8493 images ่ฎญ็ปƒ้›†
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+ val: VOCdevkit\images\val # 2249 images ้ชŒ่ฏ้›†
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+
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+ # number of classes ็ฑปๅˆซๆ•ฐ
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+ nc: 9
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+
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+
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+ # Classes
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+ names:
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+ 0: person
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+ 1: bike
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+ 2: car
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+ 3: motor
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+ 4: bus
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+ 5: truck #6-5
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+ 6: light #7-6
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+ 7: hydrant #8-7
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+ 8: sign # 9-8
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+
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+
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+ # 5: train
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+ # 10: dog
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+ # 11: skateboard
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+ # 12: stroller
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+ # 13: scooter
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+ # 14: other vehicle
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+
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+
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test_image/coco128.yaml ADDED
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+ # YOLOv5 ๐Ÿš€ by Ultralytics, AGPL-3.0 license
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+ # COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
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+ # Example usage: python train.py --data coco128.yaml
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+ # parent
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+ # โ”œโ”€โ”€ yolov5
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+ # โ””โ”€โ”€ datasets
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+ # โ””โ”€โ”€ coco128 โ† downloads here (7 MB)
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+
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+
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+ # 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, ..]
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+ path: ../datasets/coco128 # dataset root dir
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+ train: images/train2017 # train images (relative to 'path') 128 images
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+ val: images/train2017 # val images (relative to 'path') 128 images
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+ test: # test images (optional)
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+
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+ # Classes
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+ names:
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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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+
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+
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+ # Download script/URL (optional)
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+ download: https://ultralytics.com/assets/coco128.zip
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