Dataset Versions

v2

2022-06-16 9:14pm

Generated on Jun 16, 2022

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 87%
3252Images
Valid Set 8%
301Images
Test Set 5%
174Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 50-96% Horizontal Region, 7-100% Vertical Region
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 10% Minimum Zoom, 38% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Blur: Up to 10px
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels

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