Dataset Versions

v5

2023-08-18 4:17pm

Generated on Aug 18, 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 90%
5676Images
Valid Set 6%
348Images
Test Set 4%
271Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 42% Maximum Zoom
Shear: ±45° Horizontal, ±45° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±30° Horizontal, ±30° Vertical
Bounding Box: Brightness: Between -50% and +50%

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