Dataset Versions

v1

2023-06-23 4:14pm

Generated on Jun 23, 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 82%
441Images
Valid Set 11%
60Images
Test Set 7%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x240

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -25% and +25%

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