Dataset Versions

v1

2023-12-07 8:22am

Generated on Dec 7, 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%
198Images
Valid Set 8%
19Images
Test Set 4%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Grayscale: Apply to 100% of images
Brightness: Between -48% and +48%
Exposure: Between -39% and +39%
Blur: Up to 2.5px
Noise: Up to 16% of pixels

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