Dataset Versions

v2

2023-10-25 4:11pm

Generated on Oct 25, 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 96%
420Images
Valid Set 4%
17Images
Test Set %
0Images

Preprocessing

Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -26° and +26°
Hue: Between -40° and +40°
Noise: Up to 10% of pixels
Bounding Box: Brightness: Between -51% and +51%
Bounding Box: Exposure: Between -53% and +53%

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