Dataset Versions

v6

2023-11-21 9:26pm

Generated on Nov 21, 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 83%
14024Images
Valid Set 12%
1996Images
Test Set 6%
955Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 5 remapped, 0 dropped

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Brightness: Between -25% and +25%
Bounding Box: Flip: Horizontal
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels