Dataset Versions

v1

2023-10-27 6:13pm

Generated on Oct 27, 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.
Other Formats
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Dataset Split

Train Set 92%
78Images
Valid Set 5%
4Images
Test Set 4%
3Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Shear: ±22° Horizontal, ±20° Vertical
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1% of pixels
Cutout: 8 boxes with 17% size each

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