labelme2coco
labelme
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| labelme2coco | labelme | |
|---|---|---|
| 1 | 6 | |
| 245 | 12,257 | |
| - | 2.7% | |
| 3.9 | 8.9 | |
| 6 months ago | 11 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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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
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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.
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?
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
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
Swin-Transformer-Semantic-Segmentation - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code
sentinel2-cloud-detector - Sentinel Hub Cloud Detector for Sentinel-2 images in Python
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation