Dataset Versions

v1

2023-08-07 1:49am

Generated on Aug 6, 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.
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Dataset Split

Train Set 87%
16298Images
Valid Set 8%
1546Images
Test Set 5%
966Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Modify Classes: 4 remapped, 2 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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