Dataset Versions

v18

2023-05-17 9:14pm

Generated on May 17, 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 86%
1605Images
Valid Set 8%
154Images
Test Set 6%
107Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-93% Horizontal Region, 2-81% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 32% of images
Hue: Between -180° and +180°
Saturation: Between -79% and +79%
Brightness: Between -99% and +99%
Exposure: Between -99% and +99%
Blur: Up to 5.25px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -27° and +27°
Bounding Box: Brightness: Between -55% and +55%
Bounding Box: Exposure: Between -83% and +83%
Bounding Box: Noise: Up to 22% of pixels

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