Dataset Versions

v1

2023-05-04 12:00am

Generated on May 3, 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 92%
765Images
Valid Set 4%
31Images
Test Set 4%
34Images

Preprocessing

Resize: Stretch to 416x416
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Hue: Between -45° and +45°
Exposure: Between -18% and +18%
Blur: Up to 8.5px
Bounding Box: Noise: Up to 5% of pixels

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