Dataset Versions

v9

2023-12-09 2:14am

Generated on Dec 8, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

Dataset Split

Train Set 94%
1155Images
Valid Set 4%
52Images
Test Set 2%
22Images

Preprocessing

Resize: Fit within 1024x1024
Tile: 5 rows x 5 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Brightness: Between -40% and +40%
Bounding Box: Flip: Horizontal, Vertical