Upload Content/custom_data.yaml

Content/custom_data.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
+
+
+# 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/train  # train images (relative to 'path') 128 images
+val: ../images/val  # val images (relative to 'path') 128 images
+test:  # test images (optional)
+
+# Classes
+nc: 3  # number of classes
+names: ['BJP','Congress','AAP']  # class names
+
+
+# Download script/URL (optional)
+download: https://ultralytics.com/assets/coco128.zip