Dataset Versions

v10

2023-11-03 8:38pm

Generated on Nov 3, 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
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Dataset Split

Train Set 82%
3660Images
Valid Set 9%
410Images
Test Set 9%
403Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -25° and +25°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -20% and +20%
Exposure: Between -25% and +25%
Blur: Up to 3px
Noise: Up to 7% of pixels