Igor Susmelj is co-founder of Lightly, an ETH Zurich spin-off focused on simplifying large-scale datasets for deep learning. He writes about data pipelines, data annotation, and efficient ML workflows.
10 articles from this blog
Explores how AI tools like LLMs are transforming software engineering roles, workflows, and required skills in 2025, moving beyond code generation to strategic design.
An overview of open-source tools for annotating time series data, including their features, maintenance status, and use cases.
Explains data annotation, its importance for training machine learning models, and details common text and image annotation types.
Explores video segmentation techniques like rotoscoping and green screens used in Hollywood VFX, comparing them to modern AI models like Deeplab v3+.
A data-driven blog's thank you post, sharing visitor stats, popular posts on ML topics, and future plans for guest contributions.
A curated list of top data annotation companies worldwide, grouped by annotation type, focusing on services for computer vision, NLP, and audio data.
Explores the human effort behind AI training data, covering challenges of data annotation and techniques like transfer learning to reduce labeling workload.
A curated list of open-source and free tools for data annotation across computer vision, NLP, audio, and other domains, including image and video labeling.
A team built a handwritten sign digitizer for Hack Zurich 2016, creating a custom dataset and training a random forest image classifier in one day.
A personal blog about machine learning, data annotation projects, and professional experiences in deep learning and AI product development.
