Dataset Versions

v1

2024-04-15 12:06pm

Generated on Apr 15, 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%
315Images
Valid Set 8%
29Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Static Crop: 40-54% Horizontal Region, 35-53% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Blur: Up to 2px
Noise: Up to 6.75% of pixels
Bounding Box: Shear: ±17° Horizontal, ±29° Vertical
Bounding Box: Brightness: Between -15% and +15%

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