Dataset Versions

v3

2023-05-18 3:18pm

Generated on May 18, 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 95%
288Images
Valid Set 2%
7Images
Test Set 2%
7Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -50% and +50%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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