Dataset Versions

v13

2024-07-13 12:20am

Generated on Jul 13, 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 87%
4865Images
Valid Set 8%
456Images
Test Set 4%
246Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 1 rows x 2 columns
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2px
Noise: Up to 1.88% of pixels

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