Blog & Insights

Many machine learning classifiers are required to distinguish specific classes from a “background” or “other” class. The biggest challenge with such a classifier is achieving a high true positive rate for the background class; it has no identifiable features, and available training data might not cover the whole distribution of inputs. We propose a few […]

Classification challenges like Imagenet changed the way we train models. Given enough data, neural networks can distinguish between thousands of classes with remarkable accuracy. However, there are some circumstances where basic classification breaks down, and something called multi-label classification is necessary. Here are two examples: You need to classify a large number of brand logos […]

Our flagship product, Hive Media, has partnered on a joint offering with 605, an advanced data and analytics company focused on the media and entertainment industries. This joint offering is designed to provide deeper insights into both paid and earned media on TV. Currently, Hive Media ingests over 200 channels of broadcasted TV across the […]

605 and Hive Team Up To Analyze Brand Exposure

This guide will present a step-by-step guide to solving common connectivity problems using SSH tunnels. To read some useful comments and context, skip to the end. Here we will use ssh local port forwarding to PULL the service port through the ssh connection. The ssh tunnel command (to be run from A) is: Step 0: […]

Hive is a full-stack deep learning platform focused on solving visual intelligence problems. While we are working with companies in sectors ranging from autonomous driving to facial recognition, our flagship enterprise product is Hive Media. As the name suggests, Hive Media is our complete enterprise solution utilizing deep learning to revolutionize traditional media analytics. However, […]