view our previous webinars
Learn about the role augmentation can play in building large, robust computer vision datasets. We’ll discuss different augmentation techniques, when and how to apply them, and finish with a case study that focuses on using augmentation to improve the accuracy of YOLO on a popular class.
Watch as we discuss common problems and informed solutions to dataset curation and model-centric development, and reveal how we applied those techniques to place second in Andrew Ng’s Data-Centric AI Challenge. Other topics include:
- Analysis of errors in benchmark datasets and their impact
- Growing the data-centric AI movement
- Key metrics for high-quality datasets
Watch as we discuss three major components required to build robust datasets used to train high performing Machine Learning models, including:
- Fast And Accurate Annotation Capabilities
- Insightful Analytics
- Seamless Team Management
- Even More Advanced Methods of Building Quality Datasets
Watch as we discuss a data-centric approach to implementing MLOps in your Machine Learning pipeline, including:
- Annotation QA and review processes
- Utilizing pre-annotation and imports
- Using metadata to refine existing annotations
- Visualizing and rebalancing datasets
- Integrating an API
We love this stuff.
The industry insights that fuel our desire to create the best-in-class machine learning annotation platform.
Top Video Annotation Tools Compared 2022
Explore the various annotation platforms and features they offer to help improve the video annotation process.
June 2022 Release Notes
Read up on this month’s new enhancements to the platform, including Object Review, dataset augmentation, and auto-interpolation of video.
The What and Why of Annotation Augmentation: Three Key Benefits
Everybody knows dataset bias exists. What’s more, most folks are very adept at identifying it. But once your bias is defined, how do you act on it? For Innotescus users, the
Curating Data for Transfer Learning with NVIDIA’s TAO Toolkit and Innotescus
This blog walks through using NVIDIA’s TAO Toolkit and Innotescus’ data curation and analysis platform to improve a popular object detection model’s performance on the ‘person’
March 2022 Release Notes
This month’s updates are all about UI enhancements, buffing up the Image Viewer, and managing annotations more easily. Enhanced User Interface Putting the “You” in UI means giving
Innotescus Ranks Top 25 Data Software Companies of 2022
Innotescus is striving for the advancement of Machine Learning and Computer Vision by developing the best software for curating robust datasets. Out of hundreds of
Innotescus+Bossa Nova: Smart Retail Company Realizes a 650% Return from Innotescus
WHO Bossa Nova is a Pittsburgh-based company delivering AI superpowers to accelerate the future of shopping. Their retail AI engine provides customers with the fastest, most
Feb 2022 Release Notes
The new year is off to a fast start! The future of AI is accelerating (if it’s not already here) and we’re continuously improving our platform to make sure you can keep up.
Wayback and Wayforward: Keeping the Hacker Class in our futures
As the Wayback Machine celebrates its 25th anniversary, it takes a stab at portraying an ad-riddled, thought-policed future. Enter a URL to learn why what you can access today