Dataset Versions

v4

FilteredVAug

Generated on Mar 7, 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 88%
798Images
Valid Set 8%
75Images
Test Set 4%
39Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -18% and +18%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels