Plainsight Blog
Learn more about us and the power of vision AI, simply done.
AI Week in Review #21 | 2022
This week in AI & Machine Learning: Insights from Plainsight’s team, an argument for reshaping patent law, and more.
Vision AI Is Seeing Manufacturers Into the Future
For many, the thought of advanced manufacturing processes conjures images of technology designed to mimic the human arm, safely assembling and handling products. However, some of the most exciting recent developments in the manufacturing space have to do with tech that mimics sight rather than touch. Rapid advancements in computer vision technology are transforming manufacturing by enabling organizations to derive powerful insights from their visual data
Using SmartML for Melanoma Segmentation with Dermoscopic Images
In a recent skin cancer research study, Dr. Bülent Bayram and his team at Yildiz Technical University, Department of Geomatics in Istanbul, Turkey, used Plainsight’s vision AI platform to perform image segmentation for early detection and analysis of skin cancer.
AI Week in Review #20 | 2022
This week in AI & Machine Learning: An expert discussion on AI’s role in our everyday lives, Google’s methods for teaching its chatbot, and more.
Vision AI Use Cases for the Energy Sector: Monitor Storage Tanks & Detect VOC Leaks
Energy providers have not only taken action to address the causes of leaks, but set ambitious goals to eliminate or offset their emissions altogether. The sector has undoubtedly grown both safer and more sustainable in the years since the above EPA statistics were first published. Still, without the added capabilities of vision AI-enhanced processes, they’re potentially missing opportunities for improvement and letting issues like leaks go undetected.
SmartML: Train Vision AI Models with One Click
SmartML is Plainsight’s proprietary model training toolset. It is at the heart of Plainsight’s promise to make vision AI’s impressive capabilities more accessible to users of all experience levels and enterprises of all types. Thanks to SmartML, Plainsight users can use their labeled datasets to train vision AI models without the need for a single line of code.
AI Week in Review #19 | 2022
This week in AI & Machine Learning: Efforts to improve Google Translate, AI to help keep the ocean clean, and more.
TrackForward: Faster Frame-by-Frame Video Labeling
TrackForward is a Plainsight AI-powered labeling feature that can dramatically reduce the time and effort required for labeling video data. Using AI, TrackForward analyzes the labels in one frame of a video to predictively label objects in subsequent frames. By labeling an object with either a Bounding Box or Polygon and selecting the TrackForward tool, Plainsight users can quickly generate labels automatically for desired objects across entire videos.
