Master Thesis - Visual-to-Thermal Image Translation for Deep Learning Model Training

Master Thesis - Visual-to-Thermal Image Translation for Deep Learning Model Training

Job Description

Category

Computer Vision, Deep Learning, Image Processing

Scope

Two students completing a Master's Thesis (30 hp each).

Background

In the METS organization at Axis we develop a wide variety of products. These include thermal cameras and corresponding analytics solutions. A common use-case in analytics for surveillance is detection of objects such as people and vehicles. Modern approaches based on deep learning use large image datasets for training and testing of object detection models. However, annotated datasets with thermal images are typically much smaller compared to their visual (RGB) counterparts. To leverage the existing large visual datasets for thermal object detection, we would like to explore different techniques of translating visual images into thermal-looking ones. With the translated images available, we want to evaluate the impact of using these for training thermal object detection models.

Goal

The goal of this thesis project is to evaluate the effectiveness of using thermal-looking images translated from visual (RGB) images for training thermal object detection models in the domain of surveillance. Specific objectives include: * Implementing visual-to-thermal image translation using different techniques from deep learning and traditional image processing. * Evaluating the performance of object detection models trained on thermal-looking images.

Requirements

We are looking for students in the final stages of their Master's program with a strong interest in computer vision and machine learning. Experience with Python and deep learning frameworks like TensorFlow or PyTorch is essential.

OK, I am interested! What do I do now?

You are valuable to us – how nice that you are interested in one of our proposals! There are a few things for you to keep in mind when applying.

• Applications are accepted in both Swedish and English, and you apply via the proposal advert.
• The announced thesis is open only to students affiliated with a Swedish University/College either directly or via an exchange program.
• When the thesis proposal states that it includes two students working together, we would like you to apply in pairs. In these cases, send one application each but make sure to clearly state in your application who your co-applicant is. If you have any questions regarding this, please do not hesitate to contact us.
• Please attach your CV and University/College grade summary.

Who to contact for any questions regarding the position!

• Josefine Öder (josefine.oder@axis.com)
• Marcus Thelander Andrén (marcus.thelander.andren@axis.com)

Type of Employment

Thesis Worker (Fixed Term)

Posting End Date

2025-12-31

Certain roles at Axis require background checks, which means applicable verifications will be done in these recruitments. Notice will be provided before we take any action.

About Axis Communications

We enable a smarter, safer world by creating innovative solutions for improving security and business performance. As a network technology company and industry leader, we offer solutions in video surveillance, access control, intercom, and audio systems, enhanced by intelligent analytics applications.

With around 5000 committed employees in over 50 countries, we collaborate with partners worldwide. Together, we thrive in our friendly, open, and collaborative culture and inspire each other to think beyond the expected. United by our commitment to inclusion, diversity, and sustainability, we consistently seek to develop our skills and way of working.

Let´s create a smarter, safer world

For more information about Axis, please visit our website www.axis.com.

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