Dataset Versions
Versions
6 nov-2 bounding box flip hapus
v27
· a year ago
6 nov-1 ver22 valid 105
v26
· a year ago
5 nov-4 ver 22 - valid nambah jd 113
v25
· a year ago
5 nov-3 ver23 - rotation
v24
· a year ago
5 nov-2 ver22-bounding box rotate 90
v23
· a year ago
5 nov-1 versi bounding box flip
v22
· a year ago
4 nov-6 versi nambah valid
v21
· a year ago
4 nov-5 versi v18 tambah shear-crop
v20
· a year ago
4 nov -4 versi v18 tambah augmentasi exposure
v19
· a year ago
4 nov -3 versi v11 - tambah augmentasi brighness-shear
v18
· a year ago
4 nov -2 versi valid v11
v17
· a year ago
4 nov -1
v16
· a year ago
3 nov versi valid 150
v15
· a year ago
3 nov versi dataset full- valid 104
v14
· a year ago
1 nov anotate v2 -2-
v13
· a year ago
1 nov anotate v2
v12
· a year ago
31 okt dah kelar semua anotate v1
v11
· a year ago
27 okt blm fix
v10
· a year ago
revisi 26 okt part 2
v9
· a year ago
revisi 26 okt
v7
· a year ago
revisi 25 okt -benerin annotate blm fix semua-
v6
· a year ago
reg
v5
· a year ago
21okt
v4
· a year ago
2023-10-19 7:16pm
v3
· a year ago
2023-10-19 4:02pm
v2
· a year ago
2023-09-14 3:29pm
v1
· a year ago
v27
6 nov-2 bounding box flip hapus
Generated on Nov 6, 2023
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840 Total Images
View All Images
Dataset Split
Train Set 88%
735Images
Valid Set 13%
105Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -30° and +30°
Saturation: Between -50% and +50%