Dataset Versions

v5

2024-04-30 2:19pm

Generated on Apr 30, 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
Choose another format.

Dataset Split

Train Set 88%
51Images
Valid Set 7%
4Images
Test Set 5%
3Images

Preprocessing

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -12% and +12%
Brightness: Between -14% and +14%
Blur: Up to 0.9px
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 1.6px

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