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ParallelDistance

Object Detection

ParallelDistance Image Dataset

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Versions
2023-05-24 10:17pm
v36
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a year ago
2023-05-24 10:11pm
v35
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a year ago
2023-05-24 10:06pm
v34
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2023-05-24 9:08pm
v33
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2023-05-24 9:02pm
v32
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2023-05-24 9:00pm
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2023-05-24 8:51pm
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2023-05-24 7:37pm
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2023-05-24 7:33pm
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2023-05-24 7:32pm
v24
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2023-05-24 7:29pm
v23
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2023-05-24 7:25pm
v21
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2023-05-24 7:21pm
v20
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2023-05-24 7:19pm
v19
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2023-05-24 7:17pm
v18
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2023-05-24 7:15pm
v17
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2023-05-24 7:14pm
v16
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2023-05-24 6:46pm
v15
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2023-05-24 4:45pm
v14
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2023-05-24 4:33pm
v12
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2023-05-24 4:25pm
v10
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2023-05-24 4:25pm
v9
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2023-05-24 4:21pm
v8
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2023-05-24 4:19pm
v7
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2023-05-24 4:16pm
v6
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2023-05-24 4:14pm
v5
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2023-05-24 4:13pm
v4
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a year ago
2023-05-24 4:11pm
v3
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2023-05-24 4:09pm
v2
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2023-05-24 4:07pm
v1
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a year ago
v35

2023-05-24 10:11pm

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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746 Total Images

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Dataset Split

Train Set 89%
666Images
Valid Set 7%
54Images
Test Set 3%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
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%