Dataset Versions

v4

2023-05-22 9:47pm

Generated on May 22, 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 88%
12648Images
Valid Set 1%
211Images
Test Set 3%
394Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 5 remapped, 5 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Rotation: Between -21° and +21°
Saturation: Between -44% and +44%
Brightness: Between -22% and +22%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 6% of pixels

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