Dataset Versions

v3

2023-07-10 8:53pm

Generated on Jul 11, 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 85%
11127Images
Valid Set 11%
1455Images
Test Set 3%
447Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 51 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 14% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±30° Horizontal, ±30° Vertical
Blur: Up to 1.25px
Noise: Up to 7% of pixels
Mosaic: Applied

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