Dataset Versions

v9

2024-05-05 3:36pm

Generated on May 5, 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.
Other Formats
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Dataset Split

Train Set 94%
4733Images
Valid Set 4%
198Images
Test Set 2%
91Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 7
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±13° Vertical
Hue: Between -17° and +17°
Saturation: Between -26% and +26%
Brightness: Between -17% and +17%
Blur: Up to 1px
Noise: Up to 1.92% of pixels

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