Learning goals: After finishing the course, participants will be able to:
- Have an overview of the available image and video analysis techniques;
- Make well-informed choices on image and video analysis techniques;
- Manage the pitfalls originating from the images, annotation process or analysis technique.
The target group / group size: In-depth course intended for post-graduates / 20 to 30 participants.
Prior knowledge required: Some basic experience in python and digital image/video processing is required. A self-study introduction is available if needed.
Homework: There will be some practical home assignments.
Other course information: The in-person course duration is 5 days and the course is given once per year. There will be maximally 8 hours of self-study involved. Credit points: 1.6 ECTS.
Teacher: Joy Sun, Gert Kootstra and Helena Russello
Price description: €225 for WIAS and other WGS PhD candidates; €450 for WUR staff and PhD candidates from other universities; €675 for NGO participants; €1350 for private sector participants.