We provide various courses on computer vision at both the undergraduate and the graduate level. Specifically, we teach courses on Image Processing (B.Sc. level), Computer Vision (M.Sc. level) and Deep Learning (M.Sc. level). In addition, we supervise students at all levels in fundamental and applied research projects, several of which are performed in collaboration with Dutch companies.

Below is a list of projects suggested by companies.

For students: We have many more students than staff members and thus we cannot guarantee that we can supervise you on any of these topics. Thus, before you contact the company, make sure you have a TU-Delft supervisor.

For companies: Please provide a PDF with the project including scientific research questions. The PDF will be posted here, and thus advertised to potential students. We cannot guarantee that students respond to the project; we can also not guarantee that someone from the computer vision lab can supervise.

Ancora Health

Internship Port of Rotterdam

THALES looking for internship/master

Internship or Graduation - NeRF and multi-modal surface reconstruction

Internship opportunity at LUMC department of surgery

Building Inspection with Deep Learning (Spotr)

AI intern vacancy: multi-modal deepfake detection

Minimizing animal welfare risks through real-time analysis of camera feeds and on-site sensors

Interactive Segmentation using Uncertainty from Bayesian Deep Learning for Head and Neck Radiotherapy

OLGA Internship Assignment

Neural rendering

Deep Learning with Transformers for Medical Image Segmentation

List of Master Thesis projects proposed by TomTom

Prediction of Lumbar Degeneration from Radiological Imaging and Clinical Data

Detection of challenging melanoma cases with Deep Learning

3 D first arrival picking in seismic data using machine vision

Vehicle Scanning algorithm development

Estimating the shape of partly covered objects in agricultural drone imagery

Visioning Tumor Immune Cell Composition Through Neural Networks

Internships AI research and software engineering for behavior, health, and wellbeing

Internship Clockworks

RE-liON Optical Positioning System

Fraud Detection for Insurance Claims

3D Reconstruction of Olympic Dinghy Sail Shapes

Active learning using deep learning for damage detection

Full-time- and internship-positions @ Clockworks

LKEB-LUMC Medical Image Processing projects

TKH AI Project Proposals

Computer Science master thesis at Corbotics - method to determine the quality of echocardiographic images

End-to-end methods for map fault delineation detection on remote-sensing data.

Analyse video images of surgical instruments in operating rooms (OR’s) using machine or deep learning

AI generated visual identifier

AI intern vacancy: neural network generalization capabilities

INTERNSHIP: Image-to-Image Generative Deep Learning

Robust Lane Detection using Image Sequential Attention Based Transformer Model

Deep Learning in Agriculture

Seismic Data Interpolation with Deep Learning

Vehicle hardware and software integration

Privacy Protection in Medical Imaging Systems Using Federated Machine Learning

Object-based analysis of agricultural drone imagery

Neural Architecture Search and Automated Machine Learning for Damage Detection

Anomaly Detection for Aircraft Engine Inspections

Master Internship at Shell

Deep learning and Computer Vision with Delft Robotics

BME-Erasmus Medical Image Processing projects

Visual counterfeit detection (MagnaVersum)

Cow recognition (Lely)

Detection of impacting waves on coastal structures in high-speed video stream (Deltares)

Anomalies in the Electrical Network (Birds.ai)

Deep learning for protein function discovery and in silico protein engineering

Deep Learning for Traffic Analysis

Automated statistical modelling of social phenomena in speed dates

Anomalies in Solar Panel Fields (Birds.ai)

Byewaste AI-thesis internship

Artificial Intelligence for Early Pancreatic Cancer Detection

Deep learning-based approach for malignancy assessment in ovarian cancer

AI intern vacancy: neural network explainability

INTERNSHIP: Neural rendering

Image-to-Image Generative Deep Learning

Building floor count determination by Convolutional Neural Network

A neural network solution for velocity analysis in multiple contaminated seismic data

Facial Imaging and Diagnosis System for Neurological Disorders

Prediction of Cervical Degeneration from Radiological Imaging and Clinical Data

Repetition Counting in Aircraft Engines

Several Computer Vision MSc possibilities with Siqura

Exploiting the Context of Personality in Computational Deception Detection

Computer Vision and Deep Learning for Remote Sensing applications (EagleView)

Roof-feature detection from aerial imagery and LiDaR (Solar Monkey // Radaar)

Research Projects Netherlands Forensic Institute

Personalized body models for MRI dosimetry (LUMC)

Crop Counts (Birds.ai)

Damage detection for drone inspections of aircraft using deep learning (Mainblades)

Underwater Camera Image Processing for Robot Vision (Fleet Cleaner)

Investigate image feature extraction and classification via Deep Learning (ASML)

Critical Alarms Lab Sound Categorization

Detection of people in top-view camera scenes

Exploring heart chambers with ultrasound

Obstacle Detection in Sonar Images using Deep Learning Techniques (Fleet Cleaner)

Deep learning for label inspection (Eagle Vision)