Dataset Versions

v6

2022-06-28 4:18pm

Generated on Jun 28, 2022

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
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Dataset Split

Train Set 94%
633Images
Valid Set 3%
20Images
Test Set 3%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -99% and +99%
Brightness: Between -67% and +67%
Blur: Up to 5.25px
Cutout: 8 boxes with 24% size each
Bounding Box: Flip: Horizontal

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