Dataset Versions

v2

2023-08-18 8:37pm

Generated on Aug 18, 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.
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Dataset Split

Train Set 91%
9828Images
Valid Set 6%
672Images
Test Set 3%
298Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal
Hue: Between -25° and +25°
Blur: Up to 2.5px
Noise: Up to 6% of pixels
Cutout: 7 boxes with 10% size each

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