Artificalintelligenceintegeration

 Credits to  https://sairambk.medium.com/top-5-most-popular-computer-vision-tools-2021-computer-vision-tools-libraries-1dc01d4d29f6 What is Computer Vision? 1.  Computer vision  is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. 2. Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world to produce numerical or symbolic information, e.g., in the form of decisions. 3. The image data can take many forms, such as video sequences, views from multiple cameras, multi-dimensional data from a 3D scanner, or medical scanning device. 4. Sub-domains of   computer vision include scene reconstruction, event detection, video tracking, object recognition, 3D pose estimation, learning, indexing, motion estimation, visual serving, 3D scene modeling, and image restoration. 5. Computer ...

 Credits to  https://sairambk.medium.com/top-5-data-labelling-tools-for-machine-learning-2021-best-data-labelling-tools-3ae8061f5e12 Overview Of Data Labelling : 1. Labelling training data acts as the first step in the  machine learning development  cycle under Computer Vision. On completion of labelling, the dataset can be exported and used in further machine learning development. 2. Consider we need to train a machine learning model to identify a specified category of objects from the collection of data. 3. We would need to collect representation data samples which have to be classified and analysed along with a Machine Learning algorithm for handling each sample. 4. Labelling typic a lly takes a set of unlabelled data and augments each piece of it with informative tags. Why Data Labelling Is Important For Machine Learning? Classify:  The solution allows you to categorize any dataset (image/videos) along with tagging to customizable classification. Segment:...