Machines can visualize different scenarios through computer vision technology that helps computer systems to precisely locate and identify images and videos, thereby providing meaningful information from the real world. In AI, Computer Vision is playing a big role in...
Data is the fuel for Machine Learning-based AI developments that provides the set of patterns that can be recognized and understood by the machines thereby, storing such information for future references. A huge amount of such datasets is required to ensure and widen...
Sensor-based technologies are playing a key role in making Artificial Intelligence (AI) possible in various fields. LiDAR is one of the most promising sensor-based technology, used in autonomous vehicles or self-driving cars. It was essential for such autonomous...
At the time of developing the AI models through machine learning (ML), the first and foremost important requirement is of the relevant training data sets. This can only help the algorithms understand the scenario through new data or seeing the objects and predict when...
To develop machine learning or AI-based models, you need a huge volume of data sets that you can feed into the algorithm for training a machine to act like humans or perform in their respective fields without any assistance, ensuring accurate decisions and results. To...
Image annotation is becoming the only technique that can provide the right visual perception to machines through computer vision algorithms. There are various techniques used for image annotation. Semantic segmentation, is one of the most used techniques to create the...
