Dataset Versions

v10

2022-07-27 4:18pm

Generated on Jul 27, 2022

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 92%
1353Images
Valid Set %
0Images
Test Set 8%
118Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -35% and +35%
Exposure: Between -20% and +20%
Noise: Up to 5% of pixels
Bounding Box: Noise: Up to 5% of pixels

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