university

Edit Project

final-bread

Instance Segmentation

final-bread Image Dataset

Try Pre-Trained Model
Versions
2023-06-19 3:44pm
v4
Jun 19, 2023
2023-06-19 11:05am
v3
Jun 19, 2023
2023-06-18 6:33pm
v2
Jun 18, 2023
2023-06-18 4:41pm
v1
Jun 18, 2023
v4

2023-06-19 3:44pm

Generated on Jun 19, 2023
Download Dataset

2835 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 89%
2532Images
Valid Set 8%
224Images
Test Set 3%
79Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 15 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 2
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Exposure: Between -10% and +10%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 1px
Bounding Box: Noise: Up to 5% of pixels