Dataset Versions

v6

2022-12-31 2:10pm

Generated on Dec 31, 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 80%
4767Images
Valid Set 14%
808Images
Test Set 7%
403Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels

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