Dataset Versions

v9

2024-06-06 10:09pm

Generated on Jun 6, 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
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Dataset Split

Train Set 88%
632Images
Valid Set 9%
64Images
Test Set 3%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x448
Tile: 13 rows x 13 columns
Filter Null: Require at least 25% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Exposure: Between -15% and +15%
Bounding Box: Blur: Up to 3px

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