ROBIAH HAMZAH

Edit Project

InstanceSegmentationVer02

Instance Segmentation

InstanceSegmentationVer02 Image Dataset

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
·
2 years ago
augmentationDataset_ver03
v4
·
2 years ago
augmentationDataset_ver02
v3
·
2 years ago
augmentationDataset
v2
·
2 years ago
InstanceSegmentationDataset
v1
·
2 years ago
v6

OwnDatasetPreAugmentation

Generated on Sep 20, 2022
Download Dataset

5064 Total Images

View All Images
Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

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