Dataset Versions

v7

2023-11-01 1:34am

Generated on Oct 31, 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.
Other Formats
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Dataset Split

Train Set 93%
3912Images
Valid Set 5%
230Images
Test Set 2%
83Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 8-65% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Brightness: Between -45% and +45%
Exposure: Between -30% and +30%
Blur: Up to 3.25px
Noise: Up to 15% of pixels
Mosaic: Applied