Dataset Versions

v5

2024-08-29 1:29pm

Generated on Aug 29, 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 80%
11130Images
Valid Set 11%
1485Images
Test Set 9%
1242Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -1° and +1°
Grayscale: Apply to 1% of images
Hue: Between -18° and +18°
Saturation: Between -27% and +27%
Brightness: Between -15% and +15%
Noise: Up to 0.18% of pixels

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