Dataset Versions

v1

2024-11-25 12:42pm

Generated on Nov 25, 2024

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 89%
204Images
Valid Set 7%
15Images
Test Set 4%
10Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Shear: ±20° Horizontal, ±20° Vertical
Saturation: Between -35% and +35%
Blur: Up to 3px
Noise: Up to 10% of pixels
Bounding Box: Brightness: Between -15% and +15%

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