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Objects2022-BoundingBox

Object Detection

Objects2022-BoundingBox Image Dataset

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Versions
2023-09-08 5:46pm
v16
Sep 8, 2023
2023-09-08 5:01pm
v15
Sep 8, 2023
2023-09-05 8:22am
v14
Sep 5, 2023
2023-09-05 7:46am
v13
Sep 5, 2023
2023-06-03 1:36pm
v12
Jun 3, 2023
2023-02-27 2:44pm
v11
Feb 27, 2023
2023-02-23 2:36pm
v10
Feb 23, 2023
2023-02-23 2:01pm
v9
Feb 23, 2023
2023-02-23 1:29pm
v8
Feb 23, 2023
2023-02-23 11:19am
v7
Feb 23, 2023
2023-02-22 10:22pm
v6
Feb 23, 2023
2023-02-07 4:49pm
v5
Feb 7, 2023
2023-02-07 2:35pm
v4
Feb 7, 2023
2023-02-06 2:13pm
v3
Feb 6, 2023
2023-02-06 1:57pm
v2
Feb 6, 2023
2023-02-06 1:54pm
v1
Feb 6, 2023
v16

2023-09-08 5:46pm

Generated on Sep 8, 2023
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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965 Total Images

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Dataset Split

Train Set 91%
880Images
Valid Set 6%
57Images
Test Set 3%
28Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 24 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 5
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each