Dataset Versions

v2

2023-03-04 12:09pm

Generated on Mar 4, 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 96%
21117Images
Valid Set 2%
544Images
Test Set 1%
234Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 29 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Grayscale: Apply to 20% of images
Brightness: Between -70% and +70%
Exposure: Between -35% and +35%
Blur: Up to 5.25px
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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