Dataset Versions

v4

2024-03-14 9:27am

Generated on Mar 14, 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%
303Images
Valid Set 8%
29Images
Test Set 4%
14Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±6° Horizontal, ±10° Vertical
Brightness: Between -24% and +24%
Blur: Up to 1.7px
Noise: Up to 0.14% of pixels

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