Dataset Versions

v4

2024-04-30 11:56am

Generated on Apr 30, 2024

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%
210Images
Valid Set 12%
28Images
Test Set %
0Images

Preprocessing

Resize: Fill (with center crop) in 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 0.1% of pixels

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