Dataset Versions
Versions
2024-10-20 2:07pm
v24
· a month ago
2024-10-20 2:04pm
v23
· a month ago
2024-10-20 1:59pm
v22
· a month ago
2024-10-20 1:52pm
v21
· a month ago
2024-10-20 1:49pm
v20
· a month ago
2024-10-20 1:46pm
v19
· a month ago
2024-10-20 1:42pm
v18
· a month ago
try v10
v17
· 2 months ago
2024-10-11 2:04pm
v16
· 2 months ago
v9 fix
v15
· 2 months ago
strechy 224x224
v14
· 2 months ago
2024-10-10 9:50am
v13
· 2 months ago
v8 balance
v12
· 2 months ago
trainv8
v11
· 2 months ago
2024-10-09 11:01am
v10
· 2 months ago
2024-10-09 10:35am
v9
· 2 months ago
2024-10-09 9:48am
v8
· 2 months ago
with augmentation
v7
· 2 months ago
2024-10-09 1:23am
v6
· 2 months ago
2024-10-05 5:27am
v5
· 2 months ago
2024-10-05 2:55am
v4
· 2 months ago
2024-10-05 1:54am
v3
· 2 months ago
2024-10-04 12:13am
v2
· 2 months ago
Class test
v1
· 2 months ago
v4
2024-10-05 2:55am
Generated on Oct 5, 2024
11891 Total Images
View All Images
Dataset Split
Train Set 94%
11225Images
Valid Set 3%
381Images
Test Set 2%
285Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Cutout: 2 boxes with 10% size each