Dataset Versions

v4

2024-05-24 11:37pm

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.
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Dataset Split

Train Set 85%
2613Images
Valid Set 12%
367Images
Test Set 3%
108Images

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
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images

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