Dataset Versions

v3

2023-06-01 10:35am

Generated on Jun 1, 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.
Other Formats
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Dataset Split

Train Set 88%
21Images
Valid Set %
0Images
Test Set 13%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -38% and +38%
Exposure: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Blur: Up to 0.25px

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