Dataset Versions

v1

2023-10-13 10:15am

Generated on Oct 13, 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 95%
19347Images
Valid Set 4%
738Images
Test Set 2%
311Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 9 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 25% of images
Hue: Between -5° and +5°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%

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