Dataset Versions

v2

2024-09-05 8:18pm

Generated on Sep 5, 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.
Other Formats
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Dataset Split

Train Set 87%
7443Images
Valid Set 8%
682Images
Test Set 5%
412Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Blur: Up to 2px
Noise: Up to 1.96% of pixels