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Avec
- Daniel Godin, ancien image
- Simon Franchini, PhD et ingenieur
Introduction
About Zeiss:
- Founded in 1849
- Leading actor in imaging solutions
- 30000+ collaborators
- Represented in 50+ countries
About Apeer:
- Project part of the research for microscopy solutions department
- Cloud based platform for image analysis
EPITA student project
- ApeerML: automated ML segmentation platform
- Processed > 100 different use cases in very different domains
- Constantly improving automation in the development of degmentation algorithms
The challenge
The task
Reduction of memory footprint by separtion and merging within smaller spatial domain
Project organization and general setup
- Project will be divided between Research and Implementation
- Starts with state-of-the-art review of current solutions
- Docker image ready with problem statements and Test images
- Programming language: Python
- Communication: English
- Development on private Zeiss Github repo
- Acces to experts in microscopy and image processing