Dataset Versions

v3

2024-05-28 11:44am

Generated on May 28, 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%
15093Images
Valid Set 8%
1437Images
Test Set 4%
719Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 1px
Noise: Up to 0.5% of pixels

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