Dataset Versions
Versions
2023-10-24 7:22am
v30
· a year ago
Tiled
v29
· a year ago
HQ_delval
v26
· a year ago
HQ_val
v25
· a year ago
LQ_delval
v24
· a year ago
LQ_val
v23
· a year ago
2023-10-18 12:03pm
v22
· a year ago
2023-10-18 12:00pm
v21
· a year ago
ERSGAN_LQ
v19
· a year ago
LQ_deleteval-
v15
· a year ago
LQ_with_val
v14
· a year ago
2023-10-10 6:01pm
v12
· a year ago
2023-10-10 6:00pm
v11
· a year ago
2023-10-10 5:58pm
v10
· a year ago
2023-10-09 11:43am
v9
· a year ago
2023-10-09 11:33am
v8
· a year ago
2023-09-29 11:56am
v1
· a year ago
v8
2023-10-09 11:33am
Generated on Oct 9, 2023
3351 Total Images
View All Images
Dataset Split
Train Set 91%
3054Images
Valid Set 9%
296Images
Test Set 0%
1Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 2-98% Vertical Region
Tile: 2 rows x 3 columns
Filter Null: Require at least 98% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 8px
Noise: Up to 10% of pixels