TEZ

Edit Project

Tiroid Yaymalarında Malign ve Benign Ayrımı

Classification

Tiroid Yaymalarında Malign ve Benign Ayrımı Image Dataset

Versions
2023-10-16 8:38pm
v10
Oct 16, 2023
2023-10-16 8:26pm
v9
Oct 16, 2023
2023-10-11 8:16pm
v8
Oct 11, 2023
2023-10-11 8:12pm
v7
Oct 11, 2023
2023-10-06 8:37pm
v6
Oct 6, 2023
2023-10-06 8:35pm
v5
Oct 6, 2023
2023-09-27 7:46am
v4
Sep 27, 2023
v10

2023-10-16 8:38pm

Generated on Oct 16, 2023
Download Dataset

31563 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 86%
27054Images
Valid Set 9%
2889Images
Test Set 5%
1620Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Cutout: 3 boxes with 10% size each