Dataset Versions

v1

2023-08-08 3:30pm

Generated on Aug 8, 2023

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%
2214Images
Valid Set 8%
212Images
Test Set 4%
105Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -72% and +72%
Exposure: Between -41% and +41%
Noise: Up to 5% of pixels

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