Dataset Versions

v2

2024-11-15 7:25pm

Generated on Nov 15, 2024

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 90%
7599Images
Valid Set 8%
685Images
Test Set 2%
137Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -10% and +10%
Exposure: Between -11% and +11%
Blur: Up to 2.2px
Noise: Up to 1.64% of pixels

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