Dataset Versions

v3

2023-06-08 11:09am

Generated on Jun 8, 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 87%
705Images
Valid Set 8%
67Images
Test Set 4%
35Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-100% Horizontal Region, 26-76% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Bounding Box: Flip: Horizontal

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