Dataset Versions

v6

2024-03-22 9:21pm

Generated on Mar 22, 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%
21006Images
Valid Set 13%
3010Images
Test Set %
0Images

Preprocessing

Resize: Fit (white edges) in 704x704

Augmentations

Outputs per training example: 3
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.18% of pixels