Dataset Versions

v2

2023-07-14 3:35pm

Generated on Jul 14, 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 82%
726Images
Valid Set 11%
98Images
Test Set 7%
61Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 768x768

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.75px