Machine Learning
Learn more about the Machine Learning ecosystem and data enrichment through content by iMerit subject matter experts.
View CategoryThe iMerit Blog
From casual to cultured, the iMerit blog tackles a wide array of topics related to security, expertise, and flexibility in the Artificial Intelligence and Machine Learning data-enrichment marketplace.
Featured Blogs
Jan 20, 2021
Top 5 Data Annotation Tooling and Workflow Trends For 2021
As Artificial Intelligence continues to boom, improved technologies for data labeling and annotation are on the rise. From robotic perception and manipulation to self-driving cars, Machine Learning typically requires millions of data points to be annotated. According to Cognilytica the market for AI and Machine Learning relevant data preparation solutions is expected to grow to
Apr 6, 2021
Powering Driverless Cars with Data Annotation
Today, a majority of automobile manufacturers (Tesla, GM, Ford, BMW, Toyota, PSA, Renault-Nissan) and companies such as Waymo, Uber, NuTonomy envision a future with robotic vehicles driving around without any human presence being necessary. It is estimated that in 2025, the installation rate of AI-based systems in new cars should increase by 109%. Here are
Mar 29, 2021
How Noisy Labels Impact Machine Learning Models
Supervised Machine Learning requires labeled training data, and large ML systems need large amounts of training data. Labeling training data is resource intensive, and while techniques such as crowd sourcing and web scraping can help, they can be error-prone, adding ‘label noise’ to training sets. Can ML systems trained with noisy labels operate effectively? Studies
Dec 15, 2020
The Importance of Data Labeling Quality to Your AI Effort
I have long believed that technical success and financial success go hand in hand. In my earlier blogs, I talked about the importance of a solution approach to being successful with AI. The idea is to focus your limited resources on what will make your AI efforts technically and financially successful. Getting a labeling services
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View CategoryComputer Vision
Read about the latest research and deployments in Computer Vision, which is driven by datasets comprising millions of images and videos.
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Mar 3, 2021
Data Annotation for AI Applications In Healthcare
From diagnostic assistance to patient engagement, AI in healthcare is proving beneficial for patients and healthcare professionals alike by increasing efficiency and reducing significant cost. Expert annotation is the key to creating high quality training data to power AI-enabled healthcare. Here are some of the top AI applications in healthcare and the data annotation that
Jan 28, 2021
How Salesforce Is Packaging AI into Their Product
Software Creates Demand for Data Labeling Services When done right, this approach lets users more easily develop AI models and integrate the models into the software platform’s existing workflows and applications. Of course, the software vendor will claim the benefits provided by AI as part of the value provided by their software product. When dealing
Jan 20, 2021
Top 5 Data Annotation Tooling and Workflow Trends For 2021
As Artificial Intelligence continues to boom, improved technologies for data labeling and annotation are on the rise. From robotic perception and manipulation to self-driving cars, Machine Learning typically requires millions of data points to be annotated. According to Cognilytica the market for AI and Machine Learning relevant data preparation solutions is expected to grow to
