Dataset Versions

v6

2023-04-01 10:31pm

Generated on Apr 1, 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 69%
22Images
Valid Set 19%
6Images
Test Set 13%
4Images

Preprocessing

Auto-Orient: Applied
Static Crop: 41-77% Horizontal Region, 38-51% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 1
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 46% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±31° Horizontal, ±45° Vertical
Grayscale: Apply to 88% of images
Hue: Between -101° and +101°
Saturation: Between -99% and +99%
Brightness: Between -30% and +30%
Exposure: Between -21% and +21%
Blur: Up to 3px
Noise: Up to 14% of pixels
Cutout: 18 boxes with 8% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 99% Maximum Zoom
Bounding Box: Rotation: Between -39° and +39°
Bounding Box: Shear: ±30° Horizontal, ±28° Vertical
Bounding Box: Brightness: Between -56% and +56%
Bounding Box: Exposure: Between -70% and +70%
Bounding Box: Blur: Up to 25px
Bounding Box: Noise: Up to 25% of pixels