labelme2coco
autogluon
Our great sponsors
| labelme2coco | autogluon | |
|---|---|---|
| 1 | 8 | |
| 245 | 7,050 | |
| - | 2.7% | |
| 3.9 | 9.6 | |
| 6 months ago | 5 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
labelme2coco
-
What's A Simple Custom Segmentation Pipeline?
I would also suggest labelme, it's pretty easy to use. Just type "labelme" in the shell after pip installing and you will see the GUI. There are tools to convert to coco format (like https://github.com/fcakyon/labelme2coco) if needed, for instance for Detectron2.
autogluon
-
pip install remyxai - easiest way to create custom vision models
This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg https://github.com/autogluon/autogluon)
- autogluon: NEW Data - star count:5070.0
-
[D] Where is AutoML for NNs?
https://github.com/awslabs/autogluon works well for image/text/tabular data
- k-fold bagging in Autogluon - Tabular
-
What will the data science job market be like in 5 years?
Some AutoML is getting pretty good, AutoGluon is very solid for tabular data. That being said you still need to have your data in tabular format and deployment still requires some effort.
What are some alternatives?
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
autokeras - AutoML library for deep learning
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
auto-sklearn - Automated Machine Learning with scikit-learn
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf