Dataset Versions

v6

2024-08-12 6:42am

Generated on Aug 12, 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 91%
1188Images
Valid Set 6%
82Images
Test Set 2%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Shear: ±6° Horizontal, ±6° Vertical
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Noise: Up to 0.54% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 11% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Exposure: Between -10% and +10%

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