Dataset Versions

v4

2024-05-03 11:30pm

Generated on May 3, 2024

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.
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Dataset Split

Train Set 83%
6960Images
Valid Set 11%
963Images
Test Set 6%
493Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -15% and +15%
Blur: Up to 2.5px