Dataset Versions

v1

Ver_1

Generated on Jul 25, 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 97%
2880Images
Valid Set 2%
51Images
Test Set 2%
50Images

Preprocessing

Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -8° and +8°
Shear: ±15° Horizontal, ±25° Vertical
Hue: Between -10° and +10°
Saturation: Between -50% and +50%
Brightness: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 3% of pixels

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