Create name.yaml

name.yaml

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+# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
+# COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
+# Example usage: python train.py --data coco128.yaml
+# parent
+# ├── yolov5
+# └── 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/name  # dataset root dir
+train: images/train  # train images (relative to 'path') 128 images
+val: images/train  # val images (relative to 'path') 128 images
+test:  # test images (optional)
+
+# Classes
+names:
+  0: pikachu
+  1: charmander
+  2: bulbasaur
+  3: squirtle
+  4: eevee
+  5: other
+  6: jigglypuff
+
+
+# Download script/URL (optional)
+download: https://ultralytics.com/assets/coco128.zip