Dataset Versions

v4

2023-03-27 7:05am

Generated on Mar 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
Choose another format.

Dataset Split

Train Set 87%
1783Images
Valid Set 8%
171Images
Test Set 4%
86Images

Preprocessing

Tile: 3 rows x 3 columns
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Mosaic: Applied
Bounding Box: Shear: ±22° Horizontal, ±21° Vertical

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