Dataset Versions

v1

2024-01-23 10:33am

Generated on Jan 23, 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 90%
2253Images
Valid Set 6%
150Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 200x200
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Noise: Up to 5.33% of pixels
Bounding Box: Brightness: Between -15% and +15%

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