Dataset Versions

v1

2022-11-11 2:00pm

Generated on Nov 11, 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.
Other Formats
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Dataset Split

Train Set 94%
234Images
Valid Set 6%
15Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -19° and +19°
Grayscale: Apply to 10% of images
Hue: Between -30° and +30°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -16% and +16%
Noise: Up to 5% of pixels

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