Dataset Versions

v7

2023-09-20 11:16pm

Generated on Sep 20, 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 75%
543Images
Valid Set 13%
91Images
Test Set 13%
92Images

Preprocessing

Resize: Stretch to 1500x1000
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Noise: Up to 1% of pixels
Bounding Box: Crop: 10% Minimum Zoom, 52% Maximum Zoom

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