Object Detection in 2026: AI object detection models are transforming industries, from autonomous vehicles to surveillance and retail analytics..YOLOv9: Fast, real-time object detection with high accuracy, ideal for video processing and live applications..Faster R-CNN: A classic model offering precise detection for complex images and industrial use cases..SSD (Single Shot MultiBox Detector): Efficient for mobile and embedded devices, balancing speed and accuracy in lightweight deployments..DETR (DEtection TRansformer): Uses transformer architecture for end-to-end object detection, reducing manual post-processing..EfficientDet: Optimized for both accuracy and efficiency, great for cloud and edge AI applications..CenterNet: Keypoint-based detection provides fast and accurate bounding box predictions..RetinaNet: Addresses class imbalance with focal loss, excelling at detecting small objects in crowded scenes..Choosing the Right Model: Selection depends on use case, speed requirements, accuracy needs, and deployment environment..Read More Stories.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp