labelme VS Mask-RCNN-Implementation

Compare labelme vs Mask-RCNN-Implementation and see what are their differences.

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labelme Mask-RCNN-Implementation
6 1
12,135 3
2.7% -
8.9 3.2
8 days ago almost 3 years ago
Python Jupyter Notebook
GNU General Public License v3.0 or later 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.

labelme

Posts with mentions or reviews of labelme. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-15.

Mask-RCNN-Implementation

Posts with mentions or reviews of Mask-RCNN-Implementation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-09.

What are some alternatives?

When comparing labelme and Mask-RCNN-Implementation you can also consider the following projects:

labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.

Swin-Transformer-Semantic-Segmentation - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

sentinel2-cloud-detector - Sentinel Hub Cloud Detector for Sentinel-2 images in Python

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)

segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.

TACO - 🌮 Trash Annotations in Context Dataset Toolkit

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply