Dataset Versions

v4

2023-02-17 8:46pm

Generated on Feb 17, 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 99%
24144Images
Valid Set 1%
144Images
Test Set 0%
109Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±42° Horizontal, ±45° Vertical
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Noise: Up to 12% of pixels

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