Dataset Versions

v2

2023-08-16 4:50pm

Generated on Aug 16, 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 88%
990Images
Valid Set 8%
92Images
Test Set 4%
47Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 24 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Bounding Box: Crop: 0% Minimum Zoom, 43% Maximum Zoom
Bounding Box: Rotation: Between -19° and +19°
Bounding Box: Shear: ±22° Horizontal, ±23° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -41% and +41%

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