Dataset Versions

v10

2024-08-13 6:57pm

Generated on Aug 13, 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 92%
1257Images
Valid Set 4%
54Images
Test Set 4%
52Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -8% and +8%
Exposure: Between -10% and +10%
Blur: Up to 0.4px
Noise: Up to 0.98% of pixels