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Dron People

Object Detection

Dron People Image Dataset

Versions
2022-11-12 5:09am
v23
Nov 11, 2022
2022-11-11 10:52am
v22
Nov 11, 2022
2022-11-11 3:59am
v21
Nov 10, 2022
2022-11-10 11:34pm
v20
Nov 10, 2022
2022-11-10 3:17am
v19
Nov 9, 2022
2022-11-09 3:36am
v18
Nov 8, 2022
2022-11-08 3:15pm
v17
Nov 8, 2022
2022-11-08 1:20am
v16
Nov 7, 2022
2022-11-08 12:47am
v15
Nov 7, 2022
2022-11-07 10:10pm
v14
Nov 7, 2022
2022-11-07 9:44pm
v13
Nov 7, 2022
2022-11-06 8:36pm
v12
Nov 6, 2022
2022-11-06 8:08pm
v11
Nov 6, 2022
2022-11-06 7:39pm
v10
Nov 6, 2022
2022-11-05 7:01pm
v9
Nov 5, 2022
2022-11-05 2:20am
v8
Nov 4, 2022
2022-11-04 11:00pm
v7
Nov 4, 2022
2022-11-03 12:44am
v6
Nov 2, 2022
2022-11-02 11:39am
v5
Nov 2, 2022
2022-10-30 4:56pm
v4
Oct 30, 2022
2022-10-30 2:39pm
v3
Oct 30, 2022
2022-10-29 10:14pm
v2
Oct 29, 2022
2022-10-28 11:55pm
v1
Oct 28, 2022
v2

2022-10-29 10:14pm

Generated on Oct 29, 2022
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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435 Total Images

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Dataset Split

Train Set 100%
435Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Cutout: 3 boxes with 10% size each
Mosaic: Applied