Dataset Versions

v1

2023-07-23 5:19pm

Generated on Jul 23, 2023

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 82%
183Images
Valid Set 4%
10Images
Test Set 13%
30Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 300x300
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 31% Maximum Zoom
Saturation: Between -41% and +41%
Brightness: Between -60% and +60%
Noise: Up to 5% of pixels

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