Dataset Versions

v2

2024-09-22 12:09pm

Generated on Sep 22, 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 88%
2838Images
Valid Set 8%
269Images
Test Set 4%
136Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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