Dataset Versions

v26

2024-11-10 7:34am

Generated on Nov 10, 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 88%
813Images
Valid Set 8%
76Images
Test Set 4%
40Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 5% of images
Hue: Between -11° and +11°
Brightness: Between -25% and +25%
Exposure: Between -5% and +5%
Blur: Up to 1.5px
Noise: Up to 1% of pixels

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