The best real-time object detection algorithm (Accuracy) On the MS COCO dataset and based on the Mean Average Precision (MAP), the best real-time object detection algorithm in 2021 is YOLOR (MAP 56.1) . The algorithm is closely followed by YOLOv4 (MAP 55.4) and EfficientDet (MAP 55.1).
Read moreWhat is the difference between OpenCV and TensorFlow?
OpenCV is a library of programming functions mainly aimed at real-time computer vision. TensorFlow is an open-source software library for dataflow programming across a range of tasks. The important difference is that TensorFlow is a framework for machine learning, and OpenCV is a library for computer vision .
Read moreWhat is the difference between OpenCV and TensorFlow?
OpenCV is a library of programming functions mainly aimed at real-time computer vision. TensorFlow is an open-source software library for dataflow programming across a range of tasks. The important difference is that TensorFlow is a framework for machine learning, and OpenCV is a library for computer vision .
Read moreHow does tracking work in an object?
Object tracking is an application of deep learning where the program takes an initial set of object detections and develops a unique identification for each of the initial detections and then tracks the detected objects as they move around frames in a video .
Read moreWhich algorithm is best for object tracking?
The best real-time object detection algorithm (Accuracy) On the MS COCO dataset and based on the Mean Average Precision (MAP), the best real-time object detection algorithm in 2021 is YOLOR (MAP 56.1) .
Read moreHow many objects can TensorFlow detect?
The pre-trained models we provide are trained to detect 90 classes of objects.18 May 2021
Read moreHow do you use TensorFlow to detect objects?
Installation and setup
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