Dataset Versions

v1

2022-02-02 11:15am

Generated on Feb 2, 2022

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 83%
100Images
Valid Set 11%
13Images
Test Set 7%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 600x600
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -6° and +6°
Saturation: Between -25% and +25%
Brightness: Between -16% and +16%
Exposure: Between -6% and +6%
Blur: Up to 0.5px