Dataset Versions

v5

2024-05-24 11:40pm

Generated on May 24, 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%
2992Images
Valid Set 11%
374Images
Test Set 3%
92Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1280x1280
Tile: 10 rows x 10 columns
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Noise: Up to 0.1% of pixels

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