anylabeling
labelme
| anylabeling | labelme | |
|---|---|---|
| 6 | 6 | |
| 1,895 | 12,462 | |
| - | 2.6% | |
| 6.0 | 8.7 | |
| 19 days ago | 7 days ago | |
| Python | Python | |
| 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.
anylabeling
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AnyLabeling Auto-labeling with MobileSAM - the newest and fastest variant of Segment Anything
Check out AnyLabeling v0.3.2 today: https://github.com/vietanhdev/anylabeling/releases/tag/v0.3.2.
- AnyLabeling - Image Labeling tool with Auto Labeling from Segment Anything + YOLOs
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labelme VS anylabeling - a user suggested alternative
2 projects | 15 Apr 2023
AnyLabeling is a desktop app for image data labeling. It is a fork of LabelMe with upgraded UI and AI-assisted labeling with Segment Anything and YOLO models.
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labelImg VS anylabeling - a user suggested alternative
2 projects | 15 Apr 2023
AnyLabeling is a desktop app for image data labeling. It is a fork of LabelMe with upgraded UI and AI-assisted labeling with Segment Anything and YOLO models.
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AnyLabeling v0.2.2 now supported all Segment Anything models (ViT-B, ViT-L, ViT-H) + YOLOv5 + YOLOv8 for auto labeling
We also fixed some bugs from the last release and improved model performance. Check out at: https://github.com/vietanhdev/anylabeling We will love to hear your feedback to improve this program. Discussion at: https://github.com/vietanhdev/anylabeling/discussions/30
- Segment Anything Demo by Meta AI
labelme
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labelme VS anylabeling - a user suggested alternative
2 projects | 15 Apr 2023
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Use cases for PySide
Image, 3D, or data visualization applications using OpenCV and the SciPy ecosystem. The Graphics View Framework can display an image and let the user interact with it, and the Python ecosystem is very rich for image processing, data analysis, and visualization. For example, LabelMe for image labeling, PyQtGraph for scientific graphics, or custom QWidget integration in Maya.
- [D] What is a free tool for generating image segmentation masks?
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Convert Yolov3 annotation to labelme
Ref. - https://github.com/wkentaro/labelme/
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Mask RCNN Implementation for Image Segmentation | Tutorial
LabelMe is open-source tool for polygen image annotations inspired by MIT Label Me
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C++ trainable semantic segmentation models
Create your own dataset. Using labelme through "pip install" and label your images. Split the output json files and images into folders just like below:
What are some alternatives?
autodistill - Images to inference with no labeling (use foundation models to train supervised models).
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
segment-anything - The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
Swin-Transformer-Semantic-Segmentation - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
MobileSAM - This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
DIS - This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
segment-anything-video - MetaSeg: Packaged version of the Segment Anything repository
sentinel2-cloud-detector - Sentinel Hub Cloud Detector for Sentinel-2 images in Python