Dataset Versions

v1

2024-08-26 3:58am

Generated on Aug 26, 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 97%
2544Images
Valid Set 2%
50Images
Test Set 1%
31Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -16% and +16%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 1.01% of pixels

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