Dataset Versions

v2

2024-08-11 5:30am

Generated on Aug 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 82%
6704Images
Valid Set 12%
958Images
Test Set 6%
479Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 224x224

Augmentations

Outputs per training example: 2
Crop: 17% Minimum Zoom, 50% Maximum Zoom
Cutout: 5 boxes with 21% size each
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 0.1% of pixels