Computer Vision Internships in Kenya
Computer Vision internships provide hands-on experience in developing AI systems that can interpret and understand visual information, from image recognition to autonomous vehicles in Kenya's growing AI and automation landscape. Typical duration: 3–12 months.
What You'll Do
Develop Image Recognition Systems
Build AI models that can identify and classify objects, faces, and scenes in images and videos.
Implement Object Detection
Create systems that can detect and locate multiple objects within images and video streams.
Build Facial Recognition Systems
Develop facial recognition and analysis systems for security and identification applications.
Process Medical Images
Analyze medical images and scans to assist in diagnosis and treatment planning.
Develop Video Analysis Systems
Create systems that can analyze video content for surveillance, monitoring, and automation.
Enable Autonomous Systems
Develop computer vision capabilities for autonomous vehicles, drones, and robotic systems.
Skills You'll Gain
Who Should Apply
Year of Study
3rd and 4th year Computer Science, AI, or related students with strong programming and mathematical skills.
Prerequisites
Strong programming skills (Python), understanding of machine learning, and basic knowledge of image processing.
Ideal Candidates
Students with strong analytical thinking, interest in visual technology, and passion for AI applications.
Academic Requirements
Minimum GPA of 3.2 and completion of machine learning, computer vision, and programming courses.
Typical Host Companies
Duration & Mode
Duration
3–12 months (flexible based on company needs and student availability)
Schedule
Full-time during breaks, part-time during semester (20-40 hours/week)
Mode
Hybrid (mix of on-site and remote work)
Supervision
Direct mentorship from senior computer vision engineers and regular check-ins with university coordinator
Related Career Pathways
Next Steps: Advanced Internships
Future: Graduate Roles
Frequently Asked Questions
What types of computer vision projects will I work on during the internship?
You'll work on various computer vision projects including image classification, object detection, facial recognition, medical image analysis, and video processing. The specific projects depend on the company's applications and business needs.
Do I need to know deep learning for computer vision internships?
Basic understanding of deep learning and neural networks is helpful but not required initially. You'll learn advanced computer vision techniques including CNNs, object detection models, and image processing during the internship. Focus on understanding programming and machine learning fundamentals first.
What programming languages and frameworks will I use?
Common tools include Python (OpenCV, scikit-image), PyTorch, TensorFlow, and various computer vision libraries. You'll also work with image processing tools, cloud services, and deployment platforms. The specific tools depend on the company's technology stack and project requirements.
Will I work on production computer vision systems during the internship?
Initially, you'll work on development and testing environments. As you gain experience and demonstrate competence, you may contribute to production computer vision systems under close supervision. Safety, accuracy, and learning are prioritized throughout the process.
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