Dataset Versions

v5

2024-09-15 7:52am

Generated on Sep 15, 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 88%
3885Images
Valid Set 6%
277Images
Test Set 6%
275Images

Preprocessing

Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±13° Vertical
Hue: Between -15° and +15°
Blur: Up to 4.9px
Noise: Up to 0.1% of pixels

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