Dataset Versions

v4

2023-07-28 11:42am

Generated on Jul 28, 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 91%
1851Images
Valid Set 7%
150Images
Test Set 2%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 9 remapped, 3 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -30° and +30°
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -14° and +14°
Bounding Box: Exposure: Between -25% and +25%

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