Dataset Versions

v6

2024-06-29 11:10pm

Generated on Jun 29, 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 82%
8794Images
Valid Set 12%
1254Images
Test Set 6%
628Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 320x320

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between 0% and +0%
Blur: Up to 2.5px
Noise: Up to 1.68% of pixels

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