Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2025!

Welcome to Modern Computer Vision Tensorflow, Keras & PyTorch. AI and Deep Learning are transforming industries and one of the most intriguing parts of this AI revolution is in Computer Vision. Update for 2025: Modern Computer Vision CourseWe're excited to bring you the latest updates for our 2025 modern computer vision course.

Dive into an enriched curriculum covering the most advanced and relevant topics in the field:YOLOv8: Cutting-edge Object RecognitionDINO-GPT4V: Next-Gen Vision ModelsMeta CLIP for Enhanced Image AnalysisDetectron2 for Object DetectionSegment AnythingFace Recognition TechnologiesGenerative AI Networks for Creative ImagingTransformers in Computer VisionDeploying & Productionizing Vision ModelsDiffusion Models for Image ProcessingImage Generation and Its ApplicationsAnnotation Strategy for Efficient LearningRetrieval Augmented Generation (RAG)Zero-Shot Classifiers for Versatile ApplicationsUsing Roboflow: Streamlining Vision WorkflowsWhat is Computer Vision. But what exactly is Computer Vision and why is it so exciting. Well, what if Computers could understand what they're seeing through cameras or in images.

The applications for such technology are endless from medical imaging, military, self-driving cars, security monitoring, analysis, safety, farming, industry, and manufacturing. The list is endless. Job demand for Computer Vision workers are skyrocketing and it's common that experts in the field are making USD $200,000 and more salaries.

However, getting started in this field isn't easy. There's an overload of information, many of which is outdated, and a plethora of tutorials that neglect to teach the foundations. Beginners thus have no idea where to start.