Skip to content

Latest commit

 

History

History
15 lines (11 loc) · 531 Bytes

File metadata and controls

15 lines (11 loc) · 531 Bytes

Drone Images Segmentation

Ariel Drone Images Semantic Segmentation with Deep Learning Algorithms ( U-Net , VGG Seg-Net .. )

Objectives

  • Evaluating Data
  • Model Selection for Segmentation Algorithms
  • VGG U-Net Model
  • VGG Seg-Net Model
  • U-Net Basic Architecture Model (Encoder-Decoder Pattern)

J

Kaggle Notebook : www.kaggle.com/code/omarreess/aerial-images-semantic-segmentation-u-net