image_to_pixle_params_yoloSAM/ultralytics-main/ultralytics/cfg/datasets/HomeObjects-3K.yaml

34 lines
978 B
YAML

# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
# HomeObjects-3K dataset by Ultralytics
# Documentation: https://docs.ultralytics.com/datasets/detect/homeobjects-3k/
# Example usage: yolo train data=HomeObjects-3K.yaml
# parent
# ├── ultralytics
# └── datasets
# └── homeobjects-3K ← downloads here (390 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: homeobjects-3K # dataset root dir
train: train/images # train images (relative to 'path') 2285 images
val: valid/images # val images (relative to 'path') 404 images
test: # test images (relative to 'path')
# Classes
names:
0: bed
1: sofa
2: chair
3: table
4: lamp
5: tv
6: laptop
7: wardrobe
8: window
9: door
10: potted plant
11: photo frame
# Download script/URL (optional)
download: https://github.com/ultralytics/assets/releases/download/v0.0.0/homeobjects-3K.zip