Dataset Versions

v2

2023-01-02 9:57pm

Generated on Jan 2, 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.
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Dataset Split

Train Set 81%
705Images
Valid Set 10%
85Images
Test Set 9%
79Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±25° Horizontal, ±5° Vertical
Noise: Up to 10% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -25° and +25°
Bounding Box: Shear: ±20° Horizontal, ±20° Vertical

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