Products
Free for Personal and Educational-Use. Ready to purchase and deploy for Commercial.*
AI-powered search solution that organizes and unlocks access to your organization's knowledge base, enabling precise answers to complex queries while maintaining data privacy and security.
Track any marker on any thing. Not limited to animals or bipeds. Any track uses multiple cameras, to track in any setting with minimal manual labeling, automatically cleaning , and accurate 2D landmark estimates. Providing high quality motion analysis accessible and straightforward for research, entertainment, and sports science.
A segmentation tool for 3D structures. Seg Mesh is a tool that simplifies complex 3D structures into actionable data, enhancing shape recognition and classification. Its comprehensive neural network offers robust performance for shape analysis and scene segmentation, facilitating 3D data use in virtual reality, product design, and scientific research.
Capture uncertainty about child-nodes in the hierarchy into more-certain parent-nodes of the hierarchy. Designed for image and text classifiers. Use it to disambiguate uncertain classes into more certain parent-classes. For example, we can't be sure it's a Duck, but we know it's a Bird. A Pip-Installable Python module for improving classifiers.
Noisy Labels improves machine learning by handling imperfect data, specifically instance-dependent noise (IDN) in labels. It automatically identifies and corrects mislabeled data, significantly enhancing the accuracy and reliability of AI predictions, boosting performance in applications where noisy data presents a barrier to implementation.
Object Count counts anything. Using few-shot machine-learning, Object Count precisely segments and enumerates compact objects. Highlight a few examples, and the tool identifies, segments and quantifies similar objects throughout the image. Surpassing density-based estimators in accuracy. Object Count requires no extensive labelled datasets. Ideal for inventory management, quality control, and various industrial applications.
The AIML Shop program is designed to enhance the global impact of AIML's world-class research by making advanced tools, such as machine learning models and software solutions, more accessible and reliable for industry adoption. This effort not only promotes the practical application of research but also supports AIML researchers and engineers in expanding their entrepreneurship skills and creating a track record of product development.
By fostering entrepreneurialism within the research community, AIML Shop aims to create a sustainable revenue stream that rewards innovation, supports future commercialization efforts, and solidifies AIML's position as a leader in translating academic research into real-world solutions.
"AIML Shop stands as the pioneering frontier where visionary research meets tangible impact. As the first platform of its kind, we bridge the gap between ground-breaking ideas and transformative products, empowering researchers and industry leaders alike to shape the future of technology. Join us in rewriting the playbook of innovation and unlocking the full potential of AIML's research for a world of meaningful change."
"AIML Shop has been a fantastic opportunity to productize research and put new technology out there for users. With bold programs like this, AIML Engineering can take bigger steps to sustainable funding models and create a lasting impact with the technical excellence and synergies available here at the AIML."
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