Boost Efficiency in Segmentation Projects with Smart Labeling from LandingLens LandingAI is thrilled to unveil its latest innovation for AI image annotation in Segmentation Projects, a tool called Smart Labeling. As part of LandingLens, our computer vision cloud-based...
Counting colony-forming units (CFUs) is a common technique used in microbiology to estimate the number of viable microorganisms present in a sample. When viewed in a Petri dish, CFUs can look like small dots. Challenges with Existing Methods for Counting...
Introduction LandingAI’s Visual Prompting capability is an innovative approach that takes text prompting, used in applications such as ChatGPT, to computer vision. The impressive part? With only a few clicks, you can transform an unlabeled dataset into a deployed...
A core part of developing any computer vision model is error analysis. Error analysis is the process of reviewing and addressing issues with your model. This iterative process helps you build a more accurate model. This blog poses a few questions that you can ask...
LandingLens empowers you to deploy accurate computer vision models quickly. With the LandingLens optimized deep-learning modeling architecture and intuitive interface, you can create and deploy a computer vision project without needing a background in machine...
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