Matthias HellerNavigating the Future of Edge AI: Observability and Intelligent Data SelectionThe Lightly team recently had the pleasure of attending the 2023 AI Hardware & Edge AI Summit, immersing ourselves in groundbreaking…Oct 24, 2023Oct 24, 2023
Igor SusmeljLightly’s Data Curation ApproachThis overview is intended to help everyone understand how Lightly works behind the scenes and how it can be used for your data curation…Mar 15, 2022Mar 15, 2022
ClaraBias in Machine LearningThis blog post will give a high-level overview on the topic of bias in machine learning, a significant issue that can often be traced back…Mar 10, 2022Mar 10, 2022
Matthias HellerThe Best Data Curation Tools for Computer Vision in 2022Integrating a quality data curation tool into your ML pipeline will have a direct impact on the quality and performance of your model. With…Feb 7, 2022Feb 7, 2022
Matthias HellerWhy are data pipelines important?Data pipelines are important because, without a professional setup, errors can occur which jeopardize dataset quality. At the same time, a…Feb 3, 2022Feb 3, 2022
Matthias HellerHow should I build my data pipeline for computer vision?A 3-step guide for building data pipelines for computer vision: Setting up the data pipeline aims to automate data streams and transfers…Jan 31, 2022Jan 31, 2022
Sarah MeibomWhat is data redundancy in computer vision?Also read this article and many others on https://www.lightly.ai/post/what-is-data-redundancy-in-computer-visionJan 28, 2022Jan 28, 2022
Matthias HellerWhat is a data pipeline in computer vision?A data pipeline in computer vision is the path the data flows through. From data collection to storage, being used for model training, and…Jan 25, 2022Jan 25, 2022
Sarah MeibomData Selection for Computer Vision in 5 StepsIn its many forms, data acts as the learning material for machine learning models. Indeed, the performance of machine learning models is…Dec 13, 2021Dec 13, 2021
Sarah Meibom5 Answers to Data Problems in Computer VisionUnstructured data is growing exponentially and creating new challenges. This article presents 5 ways to tackle data problems in the…Sep 28, 2021Sep 28, 2021