Dataset Versions

v5

2024-10-14 1:18pm

Generated on Oct 14, 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 88%
13572Images
Valid Set 8%
1274Images
Test Set 4%
656Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -15% and +15%
Brightness: Between -21% and +21%
Exposure: Between -5% and +5%
Blur: Up to 1.5px
Noise: Up to 1.01% of pixels

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