Dataset Versions

v13

2023-04-25 3:20pm

Generated on Apr 25, 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
Choose another format.

Dataset Split

Train Set 95%
4419Images
Valid Set 3%
120Images
Test Set 3%
121Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Applied
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Rotation: Between -22° and +22°
Shear: ±26° Horizontal, ±25° Vertical
Hue: Between -16° and +16°
Saturation: Between -25% and +25%
Brightness: Between -34% and +34%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Crop: 0% Minimum Zoom, 0% Maximum Zoom
Bounding Box: Rotation: Between -20° and +20°
Bounding Box: Shear: ±24° Horizontal, ±24° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 3.5px
Bounding Box: Noise: Up to 2% of pixels

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