The TensorFlow Object Detection API is an open-source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models. Every Google app that you use has made good use of TensorFlow to make your experience better. It is used by Apple’s Siri for voice recognition. DeepFace, Facebook’s image recognition system, uses TensorFlow for image recognition. Being an Open-Source library for deep learning and machine learning, TensorFlow finds a role to play in text-based applications, image recognition, voice search, and many more. There are several real-world applications of deep learning that makes TensorFlow popular. TensorFlow is at present the most popular software library. This Open-Source Software library is used by the research team to perform several important tasks. The deep learning artificial intelligence research team at Google, Google Brain, in the year 2015 developed TensorFlow for Google’s internal use. Hence, instead of dealing with low-details like figuring out proper ways to hitch the output of one function to the input of another, the developer can focus on the overall logic of the application.
Each node in the graph represents a mathematical operation and each connection represents data. Tensorflow allows developers to create a graph of computations to perform. It uses Python as a convenient front-end and runs it efficiently in optimized C++. Tensorflow bundles together Machine Learning and Deep Learning models and algorithms. Tensorflow is an open-source library for numerical computation and large-scale machine learning that ease Google Brain TensorFlow, the process of acquiring data, training models, serving predictions, and refining future results. Object Detection using YOLO algorithm How does Object detection work? In most use cases, we use pre-trained weights from pre-trained models and then fine-tune them as per our requirements and different use cases. These object detection algorithms might be pre-trained or can be trained from scratch. Face detection is one of the examples of object detection. The ability to locate the object inside an image defines the performance of the algorithm used for detection. The bounding box may or may not accurately locate the position of the object. The location is pointed out by drawing a bounding box around the object. The special attribute about object detection is that it identifies the class of object (person, table, chair, etc.) and their location-specific coordinates in the given image. 
Object detection is a computer vision technique in which a software system can detect, locate, and trace the object from a given image or video.
Real-Tim Object detection using Tensorflow. What is Tensorflow object detection API?. Let us gain a deeper understanding about how object detection works, what is Tensorflow, and more. As the name suggests, it helps us in detecting, locating, and tracing an object from an image or a video. Object Detection using Tensorflow is a computer vision technique.
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