Real-Time Object Detection Mastery ā Now Live
Learn to Build Production-Grade Object Detection Systems
DetectLab is now offering a comprehensive course covering the full stack of real-time object detection ā from CNN backbones and the YOLO family to transformer-based detectors, model optimization, and edge deployment.
Course Highlights
š¬ 20 in-depth lessons across 6 chapters ā covering YOLOv5 through YOLOv10, DETR, RT-DETR, TensorRT optimization, and deployment on Jetson/mobile
š» Production-ready code ā Every lesson includes working examples with PyTorch, Ultralytics, ONNX, and OpenCV
š Research-backed curriculum ā Designed by an NLP researcher with deep expertise in neural architectures and real-time inference
š Certificate of completion ā Earn a verified certificate after completing all modules
Who This Is For
ML engineers looking to add computer vision to their toolkit
Computer vision developers who want to master modern detection architectures
Data scientists transitioning into real-time inference and edge AI
Research engineers exploring transformer-based detection
What's Included
Full course with sequential, structured learning
Community chat for Q&A and peer collaboration
Regular announcements and content updates
1-day free trial to explore the material
Start with a free trial and see the quality for yourself.