Dataset Versions

v1

2023-09-12 2:04pm

Generated on Sep 12, 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.
Other Formats
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Dataset Split

Train Set 95%
7005Images
Valid Set 3%
217Images
Test Set 2%
119Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -30% and +30%
Exposure: Between -28% and +28%
Blur: Up to 2.5px
Noise: Up to 8% of pixels
Bounding Box: Blur: Up to 2.5px

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