Dataset Versions

v4

2022-10-18 3:17am

Generated on Oct 18, 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 %
0Images
Valid Set 100%
111Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -40% and +40%
Exposure: Between -21% and +21%
Blur: Up to 1.25px
Noise: Up to 4% of pixels
Bounding Box: Rotation: Between -44° and +44°

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