Dataset Versions

v2

2023-10-22 6:34pm

Generated on Oct 22, 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 87%
2937Images
Valid Set 8%
280Images
Test Set 4%
140Images

Preprocessing

Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Brightness: Between -50% and +50%
Noise: Up to 9% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical