Dataset Versions

v4

2022-10-24 2:13pm

Generated on Oct 24, 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 87%
1613Images
Valid Set 8%
157Images
Test Set 5%
86Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 2048x2048
Tile: 3 rows x 3 columns
Filter Null: Require at least 75% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical