Learn image processing and object detection with OpenCV and deep learning. Build powerful vision-based applications for your AI internship portfolio.
3 - 6 Months
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Our internship programs are designed to bridge the gap between academic knowledge and industry expectations.
Work on live, industry-standard projects to build a robust portfolio.
Get guided step-by-step by senior developers and tech leads.
Top performers receive direct job offers or interviews with partner networks.
Fill in your details and our team will contact you on WhatsApp within 24 hours.
Or reach us directly: +91 75468 27374
Real experiences from students who transformed their careers with Vidyexd internships
“The OpenCV image processing pipeline from raw image to feature extraction was taught with real autonomous vehicle perception use cases. I now build lane detection systems at Ola Electric using exact techniques from Vidyexd.”
Computer Vision“YOLO object detection and training custom models on custom datasets was the killer module. Real-time inference optimization for edge devices using TensorRT is the content NVIDIA specifically valued in my interview.”
Computer Vision“Image segmentation using U-Net, Mask R-CNN, and semantic segmentation was covered with proper theoretical grounding. Industrial inspection use cases in manufacturing were the application domain, exactly what Siemens works on.”
Computer Vision“Face recognition, pose estimation, and action recognition were implemented from scratch during the internship. My portfolio now includes real-time Python applications that deeply impressed the TCS Research recruitment panel.”
Computer Vision“3D vision and point cloud processing were advanced modules I did not expect. LiDAR data processing for autonomous vehicles is a skill very few CV engineers have. Bosch ADAS team was genuinely impressed with my depth.”
Computer Vision“The GANs for image synthesis and style transfer modules were fascinating. Building creative AI applications alongside traditional computer vision gave me a unique portfolio, cutting-edge projects that stand out in every interview.”
Computer Vision