Roora also helps in data labeling in below Insustries/Usecases.
Data labeling in waste detection involves the process of annotating and categorizing waste images or data sets to train AI models to identify and sort waste types. This helps automate waste segregation and improve waste management practices, ultimately leading to a cleaner environment.
Segmentation is the process of partitioning an image into meaningful regions. For RGB and thermal images, segmentation is used to isolate objects of interest. RGB segmentation is based on color, while thermal segmentation is based on temperature. Combining both types of segmentation can improve object detection accuracy and aid in various applications such as surveillance, search and rescue, and medical imaging.