Dataset Versions

v6

2023-05-04 9:30pm

Generated on May 4, 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 96%
1245Images
Valid Set %
0Images
Test Set 4%
46Images

Preprocessing

Resize: Stretch to 256x256

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 1.5px
Noise: Up to 1% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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