Project

Project 2.0

Classification

Project 2.0 Image Dataset

v1

Version 1.0

Generated on May 23, 2022

Dataset Split

Train Set 90%
5392Images
Valid Set 6%
377Images
Test Set 3%
193Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 224x224

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%