Dataset Versions
Versions
preAugNoise
v12
· 2 years ago
2022-09-22 4:06pm
v11
· 2 years ago
PreStaticCropFilterNull
v10
· 2 years ago
OwndatasetStaticCrop
v9
· 2 years ago
OwnDatasetPreAutoAdjust
v8
· 2 years ago
OwndatasetPre
v7
· 2 years ago
OwnDatasetPreAugmentation
v6
· 2 years ago
2022-04-25 3:08pm
v5
· 3 years ago
augmentationDataset_ver03
v4
· 3 years ago
augmentationDataset_ver02
v3
· 3 years ago
augmentationDataset
v2
· 3 years ago
InstanceSegmentationDataset
v1
· 3 years ago
v6
OwnDatasetPreAugmentation
Generated on Sep 20, 2022
5064 Total Images
View All Images
Dataset Split
Train Set 88%
4440Images
Valid Set 6%
296Images
Test Set 6%
328Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 10px