Dataset Versions

v10

2024-06-08 11:42pm

Generated on Jun 9, 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%
1602Images
Valid Set 8%
143Images
Test Set 4%
78Images

Preprocessing

Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -20% and +20%
Brightness: Between -6% and +6%
Blur: Up to 1.6px
Noise: Up to 0.46% of pixels

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