Dataset Versions

v2

2024-10-16 1:54am

Generated on Oct 16, 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.
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Dataset Split

Train Set 85%
1401Images
Valid Set 9%
148Images
Test Set 6%
104Images

Preprocessing

Resize: Stretch to 640x480

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 8% Maximum Zoom
Saturation: Between -2% and +2%
Blur: Up to 3.6px
Noise: Up to 0.06% of pixels

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