Which Type of Data Annotation Is Right For You How to Get it done? | |
Teams must decide what type of data annotation is right for their application. This is an important question because data labeling can be expensive and time-consuming, but it is critical to the model’s success. So, teams are stuck with an often complicated cost-benefit analysis when it comes time to annotate their data. While it might be tempting to settle for image classification – it’s probably the cheapest and easiest to achieve – its applications are very limited. If we think about an autonomous vehicle computer vision model looking out into a complex urban environment, we begin to see that just recognizing whether there is a human in its sight or not will not be enough. To avoid running the person over, the car also needs to know where the human is. If we take a medical computer vision application – identifying the shape of cancerous cells, we need instance segmentation, to differentiate between different instances of cells. Defining the whole image as “cells” won’t help us localize the problematic cells or to understand the extent of any problems. We have experts in the field who understand data and its allied concerns like no other. We could be your ideal partners as we bring to the table competencies like commitment, confidentiality, flexibility, and ownership to each project or collaboration. So, regardless of the type of data you intend to get annotations for, you could find that veteran team in us to meet your demands and goals. Get your AI models optimized for learning with us. | |
Related Link: Click here to visit item owner's website (0 hit) | |
Target State: All States Target City : All Cities Last Update : 16 September 2023 10:43 AM Number of Views: 55 | Item Owner : Prashi Ostwal Contact Email: Contact Phone: 09131920438 |
Friendly reminder: Click here to read some tips. |