Plainsight Blog
Learn more about us and the power of vision AI, simply done.
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.
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.
Computer Vision and Retail’s Digital Transformation
When it comes to digital transformation, retailers are no longer asking, “What if?” They’re saying the time is now. For the retail industry in particular, integrating vision AI applications into traditional store operations can open up a world of fresh insights that empower better decision making.
Deep Learning Architecture for Skin Cancer Segmentation
In a recent skin cancer research study, Dr. Bülent Bayram and his team at Yildiz Technical University, Department of Geomatics in Istanbul, Turkey, used our vision AI platform to perform image segmentation for early detection and analysis of skin cancer.
Vision AI for Fighting and Preventing Wildfires
By enhancing their computer vision technology and applying AI to visual data like satellite imagery and drone feeds, public and private sector organizations can better recognize wildfire risks, predict the likely path of blazes, and coordinate their fire-fighting efforts to protect communities.
Object Detection: An Introduction
Spotting relevant information in an image or video feed can feel a little like looking for a needle in a haystack, but it doesn’t have to require so much time and effort. Training AI to detect objects can help by streamlining and automating the process of generating insights from visual data.
See More to Learn More and Solve More with Plainsight Vision AI
Visual data truly is the last great untapped resource for enterprises hoping to analyze and better understand their business. Without computer vision technology to derive insights from their images or video streams, organizations are unable to do much more than just collect visual data. AI-powered computer vision solutions offer the means to put visual data to work, improving processes and solving business challenges.
Computer Vision and Waste Recycling: Solving the Trash Problem
Happy Earth Day! Waste management might not be the first thing you think about when someone mentions computer vision but it’s actually an excellent use case for the technology.
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