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Labelme Alternatives
Similar projects and alternatives to labelme
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Judoscale
Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
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anylabeling
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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labelme2coco
A lightweight package for converting your labelme annotations into COCO object detection format.
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Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
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bpycv
Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
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labelImg
Discontinued 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. [Moved to: https://github.com/HumanSignal/labelImg] (by heartexlabs)
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
labelme discussion
labelme reviews and mentions
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Convert LabelMe Annotations to YOLO Format with labelme-to-yolo
Convert LabelMe format into YoloV7 format for instance segmentation.
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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:
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A note from our sponsor - InfluxDB
influxdata.com | 19 Apr 2025
Stats
wkentaro/labelme is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of labelme is Python.