Machines can visualize different scenarios through computer vision technology that helps computer systems precisely locate and identify images and videos to get meaningful information from the real world. In AI, computer vision is playing a big role to train the...
Data is the fuel for the machine learning-based AI developments providing the set of patterns that machine can recognize and understand storing such information for future references. And a huge amount of such datasets are required to make sure machines learn...
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 and became essential for such autonomous...
At the time of developing the AI models through machine learning (ML) first and most important thing you need, relevant training data sets, which can only help the algorithms understand the scenario through new data or seeing the objects and predict when used in...
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 act like humans or perform in the respective field without any help with accurate decisions and results. And to train such...
Image annotation is becoming the only technique, 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 them used to create the training data for...
