Jirka BorovecandGlenn Jocher
ed887b5976
* define pre-commit * add CI code * configure * apply pre-commit * fstring * apply MD * pre-commit * Update torch_utils.py * Update print strings * notes * Cleanup code-format.yml * Update setup.cfg * Update .pre-commit-config.yaml Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
31 lines
1.7 KiB
YAML
31 lines
1.7 KiB
YAML
# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
|
|
# COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017)
|
|
# Example usage: python train.py --data coco128.yaml
|
|
# parent
|
|
# ├── yolov5
|
|
# └── datasets
|
|
# └── coco128 ← downloads here
|
|
|
|
|
|
# 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
|
|
nc: 80 # number of classes
|
|
names: ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light',
|
|
'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow',
|
|
'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee',
|
|
'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard',
|
|
'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple',
|
|
'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch',
|
|
'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone',
|
|
'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear',
|
|
'hair drier', 'toothbrush'] # class names
|
|
|
|
|
|
# Download script/URL (optional)
|
|
download: https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip
|