|about 2 months ago||5 days ago|
|GNU General Public License v3.0 only||GNU General Public License v3.0 or later|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Free instance segmentation annotation tool
2 projects | /r/computervision | 8 Feb 2023
Mivos, you'll get assisted by a deep learning model https://github.com/hkchengrex/MiVOS
Deploying video object segmentation at scale in a day
2 projects | /r/machinelearningnews | 3 Aug 2022
We've been building a ton of infrastructure to process a lot of video data very quickly at Sieve, and video object segmentation is a cool task a lot of companies have used us for. Models like MiVOS and PointRend have made it possible for companies like RunwayML to build these ML-based video editing features like green screen. We wrote about how you might go about building this yourself in a day.
We haven't tracked posts mentioning Entity yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation
flying-guide-dog - Official implementation of "Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation", IEEE ROBIO 2021
Open3D-ML - An extension of Open3D to address 3D Machine Learning tasks
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation
make-sense - Free to use online tool for labelling photos. https://makesense.ai
InteractiveAnnotation - Interactive Annotation using Segment Anything for fast and accurate segmentation
AgML - AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
fashion-segmentation - A tensorflow model for segmentation of fashion items out of multiple product images