Dataset Versions

v5

2023-03-03 5:01pm

Generated on Mar 3, 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 100%
807Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Grayscale: Apply to 49% of images
Hue: Between -114° and +114°
Saturation: Between -89% and +89%
Brightness: Between -36% and +36%
Exposure: Between -17% and +17%
Bounding Box: Exposure: Between -25% and +25%

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