Dataset Versions

v3

2024-01-27 7:03pm

Generated on Jan 27, 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 96%
11662Images
Valid Set 3%
376Images
Test Set 1%
159Images

Preprocessing

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

Augmentations

Outputs per training example: 7
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1.49% of pixels

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