Prayag Pawar

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tanks_f

Object Detection

tanks_f Image Dataset

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Versions
2023-02-21 7:08pm
v16
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a year ago
2023-02-21 4:35pm
v15
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a year ago
2023-02-21 4:12pm
v14
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a year ago
2023-02-21 4:10pm
v13
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a year ago
2023-02-21 3:40pm
v12
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a year ago
2023-02-21 12:27pm
v11
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a year ago
2023-02-02 7:04pm
v10
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a year ago
2023-02-02 5:56pm
v9
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a year ago
2023-02-01 7:03pm
v8
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a year ago
2023-02-01 4:31pm
v7
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a year ago
2023-02-01 4:30pm
v6
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a year ago
2023-02-01 12:39pm
v5
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a year ago
2023-02-01 12:32pm
v4
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a year ago
2023-01-31 7:28pm
v3
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a year ago
2023-01-31 7:00pm
v2
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a year ago
2023-01-31 5:10pm
v1
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a year ago
v6

2023-02-01 4:30pm

Generated on Feb 1, 2023
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
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329 Total Images

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Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

Dataset Split

Train Set 86%
283Images
Valid Set 9%
29Images
Test Set 5%
17Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images