InteractiveAnnotation
Interactive Annotation using Segment Anything for fast and accurate segmentation (by Asad-Ismail)
NoCodeSeg
🔬 Code-free deep segmentation for computational pathology (by andreped)
| InteractiveAnnotation | NoCodeSeg | |
|---|---|---|
| 1 | 1 | |
| 20 | 45 | |
| - | - | |
| 7.2 | 6.2 | |
| about 1 year ago | 6 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
InteractiveAnnotation
Posts with mentions or reviews of InteractiveAnnotation.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Boost 🚀 your (instance) segmentation labeling using the trainYOLO platform.
Really cool here is also opensource implementation of instance segmentation using segement anything https://github.com/Asad-Ismail/InteractiveAnnotation
NoCodeSeg
Posts with mentions or reviews of NoCodeSeg.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing InteractiveAnnotation and NoCodeSeg you can also consider the following projects:
Entity - EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
fCWT - The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.