Dataset Versions

v3

2023-10-29 11:45pm

Generated on Oct 29, 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.
Other Formats
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Dataset Split

Train Set 88%
123Images
Valid Set 8%
11Images
Test Set 4%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Shear: ±16° Horizontal, ±24° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -30% and +30%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Cutout: 10 boxes with 10% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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