Dataset Versions

v1

2024-02-01 1:29am

Generated on Jan 31, 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 95%
1836Images
Valid Set 4%
79Images
Test Set 1%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Vertical
Hue: Between -180° and +180°
Saturation: Between -80% and +80%
Noise: Up to 8.49% of pixels
Bounding Box: Rotation: Between -23° and +23°

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