Dataset Versions

v14

2024-11-11 10:18am

Generated on Nov 11, 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 91%
21528Images
Valid Set 5%
1172Images
Test Set 4%
913Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Auto-Adjust Contrast: Using Histogram Equalization
Filter by Tag: 0 required, 1 dropped

Augmentations

Outputs per training example: 3
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels