Pupin 2

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Sljivar 2

Object Detection

Sljivar 2 Image Dataset

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Versions
2023-01-28 2:28pm
v24
Jan 28, 2023
2023-01-27 11:03am
v23
Jan 27, 2023
2023-01-26 2:50pm
v22
Jan 26, 2023
2023-01-26 12:36pm
v21
Jan 26, 2023
2023-01-26 12:06pm
v20
Jan 26, 2023
2023-01-26 11:32am
v19
Jan 26, 2023
2023-01-25 5:02pm
v18
Jan 25, 2023
2023-01-25 4:57pm
v17
Jan 25, 2023
2023-01-25 3:52pm
v16
Jan 25, 2023
2023-01-25 3:32pm
v15
Jan 25, 2023
2023-01-25 3:09pm
v14
Jan 25, 2023
2023-01-25 2:43pm
v13
Jan 25, 2023
2023-01-25 2:33pm
v12
Jan 25, 2023
2023-01-25 1:13pm
v11
Jan 25, 2023
2023-01-25 12:38pm
v10
Jan 25, 2023
2022-11-28 10:11am
v8
Nov 28, 2022
2022-11-03 3:08pm
v6
Nov 3, 2022
2022-11-03 3:03pm
v5
Nov 3, 2022
2022-11-03 2:28pm
v4
Nov 3, 2022
2022-11-03 1:55pm
v3
Nov 3, 2022
2022-11-03 1:28pm
v2
Nov 3, 2022
2022-08-31 12:17pm
v1
Aug 31, 2022
v19

2023-01-26 11:32am

Generated on Jan 26, 2023
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2638 Total Images

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Dataset Split

Train Set 87%
2307Images
Valid Set 8%
223Images
Test Set 4%
108Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -20% and +20%
Noise: Up to 2% of pixels