Creating Semantic Segmentation Labels for the Training Data.
IMAGE / LABEL EXAMPLE AS MOTIVATION
One of my Research Topics required some training data, which was not easily available publicly anywhere, and I decided to create a dataset of my own. After a lot of searching I found LabelMe to annotate and label the image.
What is LabelMe :
LabelMe is a tool which is written in Python to annotate an image.
Types of Annotation which can be done in LabelMe :
1. Classification
2. Detection
3. Semantic Segmentation
4. Instance Segmentation
Steps to Install and Run LabelMe :
- It is always suggested to create a new Conda Environment for LabelMe.
conda create --name labeme python=3.6 - Activate the Environment.
conda activate labelme - Installing the Labelme
pip install labelme
