Dataset Versions
Versions
Segmentation-test-Augmen 2023-11-16 9-19pm
v18
· a year ago
2023-11-16 9:17pm
v17
· a year ago
2023-11-16 9:15pm
v16
· a year ago
2023-11-16 9:13pm
v15
· a year ago
Segmentation with test 2023-11-14 10-16pm
v14
· a year ago
Detection with test 2023-11-14 9-26pm
v13
· a year ago
Detection - only Person - 2023-11-14 8-45pm
v12
· a year ago
Segmentation 2023-11-14 8-25pm
v11
· a year ago
2023-11-12 5:46pm
v10
· a year ago
2023-11-12 5:04pm
v9
· a year ago
2023-11-11 6:16pm
v8
· a year ago
2023-11-11 6:14pm
v7
· a year ago
2023-11-09 7:41pm
v6
· a year ago
2023-10-30 10:17pm
v5
· a year ago
2023-10-24 10:15pm
v4
· a year ago
2023-10-23 10:32pm
v3
· a year ago
2023-10-21 11:54pm
v2
· a year ago
2023-10-18 10:13pm
v1
· a year ago
v16
2023-11-16 9:15pm
Generated on Nov 16, 2023
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733 Total Images
View All Images
Dataset Split
Train Set 82%
603Images
Valid Set 14%
106Images
Test Set 3%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 6 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Hue: Between -34° and +34°
Saturation: Between -55% and +55%
Brightness: Between -13% and +13%
Exposure: Between -14% and +14%
Noise: Up to 2% of pixels