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 TensorFlow Lite work?
How it works
Read moreCan TensorFlow be used for object detection?
TensorFlow Object Detection API. The TensorFlow object detection API is the framework for creating a deep learning network that solves object detection problems. There are already pretrained models in their framework which they refer to as Model Zoo.
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