Dataset Versions

v8

2023-02-23 3:44pm

Generated on Feb 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%
6974Images
Valid Set 12%
1004Images
Test Set 6%
502Images

Preprocessing

Resize: Stretch to 416x416
Modify Classes: 50 remapped, 21 dropped

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Blur: Up to 10px

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