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ParallelDistance

Object Detection

ParallelDistance Image Dataset

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2023-05-24 10:17pm
v36
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2023-05-24 10:11pm
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2023-05-24 10:06pm
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2023-05-24 4:19pm
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2023-05-24 4:16pm
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v1
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v36

2023-05-24 10:17pm

Generated on May 24, 2023
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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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948 Total Images

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Dataset Split

Train Set 89%
843Images
Valid Set 7%
71Images
Test Set 4%
34Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 49% of images
Hue: Between -98° and +98°
Saturation: Between -53% and +53%
Exposure: Between -36% and +36%
Mosaic: Applied
Bounding Box: Brightness: Between -32% and +32%
Bounding Box: Exposure: Between -21% and +21%