Dataset Versions

v1

2023-02-05 12:10am

Generated on Feb 4, 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
Choose another format.

Dataset Split

Train Set 93%
2295Images
Valid Set 3%
81Images
Test Set 4%
90Images

Preprocessing

Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Brightness: Between 0% and +35%
Exposure: Between -30% and +30%
Blur: Up to 5.25px
Noise: Up to 10% of pixels

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