Create Dataset for Computer Vision
The groundbreaking applications of Artificial intelligence are attracting tech multinationals like Apple, Microsoft, Amazon and Facebook to work on their future projects with more AI focused strategies. The AI effect is influencing the product road map of all such companies having the renowned AI-based applications that are launched at regular intervals in a year to automate their business operations with more promising results. Computer Vision is an important development under AI that has been extensively explored and applied into various industries from outdated to innovative self-driving cars moving on roads without human intervention. Such AI-backed innovative technologies work on such principles that encompass a huge amount of training data for computer vision. All these steps have their own challenges in terms of technical know-how and operational activities, so here we will discuss and help you how to deal with the labeling of training data and other related aspects required to complete this process. Before we start labeling of training data, you need aware where the technology of Computer Vision is effectively used to produce an AI-backed system or machine that can perform without too much human instructions and do their job independently as per the changing situations.
Jun-25-2021, 03:10:58 GMT
- Genre:
- Overview > Innovation (0.57)
- Industry:
- Information Technology (0.94)
- Technology:
- Information Technology
- Artificial Intelligence
- Robots > Autonomous Vehicles (0.60)
- Vision (1.00)
- Communications > Social Media (1.00)
- Artificial Intelligence
- Information Technology