Dataset Versions

v2

2024-03-17 2:20pm

Generated on Mar 17, 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.
Other Formats
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Dataset Split

Train Set 86%
24Images
Valid Set 11%
3Images
Test Set 4%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±6° Horizontal, ±15° Vertical
Grayscale: Apply to 19% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.8px