Semantic segmentation vs Instance Segmentation are two approaches in computer vision that allow machines to understand and interpret visual data at the pixel level. Even though both techniques segment images into meaningful regions, they are different in how they...
Human Annotation is the backbone of today’s AI and Machine Learning Systems. While AI models can process huge amounts of data but they still rely on humans to guide them. If the labels are inconsistent or messy, even the most advanced models can make wrong...
LiDAR technology, or Light Detection and Ranging, is a remote sensing technology that uses laser light to measure distances and create detailed 3D maps of objects and the environment. A LiDAR system emits laser pulses, and a receiver captures the reflected light to...
AI and machine learning models can only be good when they are fed the right data. Machines can’t understand the context of images or text without proper data labeling. AI has moved beyond the simple understanding of an image or a sentence to understanding the...
Noise in AI datasets refers to irrelevant, random, or erroneous data that can hamper the learning process of AI models. The noise can negatively affect the accuracy, generalization, and robustness of the different AI models. Simply put, unwanted data makes it...
