Dataset Versions

v11

2023-07-13 1:32am

Generated on Jul 12, 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 85%
8979Images
Valid Set 10%
1037Images
Test Set 5%
506Images

Preprocessing

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

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -33% and +33%
Exposure: Between -14% and +14%
Blur: Up to 2px
Noise: Up to 6% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom