CVledd
CVledd is an open-source software framework and community platform for computer vision research. It provides tools to develop, evaluate, and share experiments and datasets with a focus on reproducibility. The project serves researchers, educators, and developers working on tasks such as object detection, segmentation, and video analysis.
Key features include dataset versioning and provenance, a modular experimentation pipeline, a model zoo, and built-in
CVledd is implemented primarily in Python, with a web interface and a REST API. It uses PostgreSQL
The project began in 2021 as a community initiative and was released under the Apache 2.0 license
Users employ CVledd to manage large CV datasets, track experiments, and compare models using standardized metrics.
Reception is mixed: supporters cite reproducibility and collaboration benefits, while critics note a learning curve and
Related projects include MLflow, DVC, and Hugging Face Datasets.