Dataset Versions

v12

2023-12-27 10:39am

Generated on Dec 27, 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 75%
450Images
Valid Set 18%
110Images
Test Set 7%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 240x240

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±18° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -68% and +68%
Brightness: Between -23% and +23%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 3.75px
Bounding Box: Noise: Up to 5% of pixels

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