image classification - PerceptiLabs

Use Case: Wildfire Detection

Every year, millions of hectares of forest are lost due to the spread of wildfires. However, using image recognition, authorities may now be able to identify wildfires from live-streamed images from cameras on highways or buildings.

healthcare

Use Case: Highlighting Blood Cells in Dark-field Microscopy Using Image Segmentation

An application of dark-field microscopy is to view blood sample features such as blood cells. We created a use case for applying image segmentation to dark-field microscopy images using PerceptiLabs.

image classification

Use Case: Automated Weather Analysis Using Image Recognition

Many industries have the need to identify current and past weather conditions. The data helps them plan, organize, and/or optimize their operations. This Use Case shows automated weather analysis using Image Recognition.

Machine Learning

Live Coding: TensorFlow vs. PerceptiLabs: Who has more Flower Power

Ever wondered how PerceptiLabs' visual approach compares to writing TensorFlow code? Recently, Robert Lundberg, CTO and Co-Founder of PerceptiLabs, gave a live coding demonstration to show just that, using TensorFlow’s flower classification model. TensorFlow, the most popular machine learning (ML) framework today, provides a tutorial on how to classify