Dataset Versions

v3

2022-06-20 10:55pm

Generated on Jun 20, 2022

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 82%
130Images
Valid Set %
0Images
Test Set 18%
29Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 1
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 8% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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