Dataset Versions

v10

2023-09-02 4:38pm

Generated on Sep 2, 2023

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
Choose another format.

Dataset Split

Train Set 96%
5718Images
Valid Set 4%
244Images
Test Set 0%
12Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Bounding Box: Crop: 0% Minimum Zoom, 15% Maximum Zoom
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 4px
Bounding Box: Noise: Up to 5% of pixels

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