Dataset Versions

v5

2024-09-06 7:41am

Generated on Sep 6, 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 87%
9849Images
Valid Set 8%
949Images
Test Set 4%
474Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4px
Noise: Up to 0.1% of pixels

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