Dataset Versions

v1

2022-05-29 3:21am

Generated on May 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.
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Dataset Split

Train Set 100%
873Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -19° and +19°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -31% and +31%
Noise: Up to 5% of pixels

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