Dataset Versions

v7

2023-08-27 4:31pm

Generated on Aug 27, 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 75%
1636Images
Valid Set 10%
217Images
Test Set 16%
340Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 2 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Hue: Between -25° and +25°
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Noise: Up to 5% of pixels

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