Dataset Versions

v3

2022-04-16 6:20pm

Generated on Apr 16, 2022

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 87%
129Images
Valid Set 8%
12Images
Test Set 5%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 99% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 5% of images
Hue: Between -15° and +15°
Saturation: Between -28% and +28%
Brightness: Between -19% and +19%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 25% of pixels
Cutout: 25 boxes with 9% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 99% Maximum Zoom
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±45° Horizontal, ±45° Vertical
Bounding Box: Brightness: Between -24% and +24%
Bounding Box: Exposure: Between -34% and +34%
Bounding Box: Blur: Up to 25px
Bounding Box: Noise: Up to 2% of pixels

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