Dataset Versions

v19

2024-10-31 5:52am

Generated on Oct 31, 2024

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 90%
4074Images
Valid Set 6%
264Images
Test Set 4%
167Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±12° Vertical
Brightness: Between -45% and +45%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Bounding Box: Blur: Up to 2.5px

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