Dataset Versions

v15

2024-07-23 6:20am

Generated on Jul 23, 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 93%
975Images
Valid Set 4%
45Images
Test Set 3%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Noise: Up to 0.85% of pixels
Cutout: 3 boxes with 9% size each
Bounding Box: Flip: Horizontal

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