Dataset Versions

v19

2023-05-18 4:02pm

Generated on May 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 88%
258Images
Valid Set 8%
24Images
Test Set 4%
12Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-93% Horizontal Region, 2-100% Vertical Region
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 20% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±30° Horizontal, ±30° Vertical
Hue: Between -92° and +92°
Saturation: Between -79% and +79%
Brightness: Between -60% and +60%
Exposure: Between -99% and +99%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Shear: ±30° Horizontal, ±30° Vertical
Bounding Box: Brightness: Between -79% and +79%
Bounding Box: Exposure: Between -83% and +83%
Bounding Box: Blur: Up to 25px
Bounding Box: Noise: Up to 22% of pixels

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