label-studio | Label Studio is a multi-type data labeling | Data Labeling library
kandi X-RAY | label-studio Summary
kandi X-RAY | label-studio Summary
Label Studio is an open source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats. It can be used to prepare raw data or improve existing training data to get more accurate ML models. Have a custom dataset? You can customize Label Studio to fit your needs. Read an introductory blog post to learn more.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of label-studio
label-studio Key Features
label-studio Examples and Code Snippets
# Specify the path to the license file.
# Alternatively, it can be a URL like LICENSE=https://lic.heartex.ai/db/20210203-1234-ab123456.lic
LICENSE=/label-studio-enterprise/license.txt
# Specify the FQDN name with port if differs from 80
LABEL_STUDI
import pickle
import os
import numpy as np
from sklearn.linear_model import LogisticRegression
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.pipeline import make_pipeline
from label_studio_ml.model import LabelStudioMLBas
import torch
import torch.nn as nn
import torch.optim as optim
import time
from torch.utils.data import Dataset, DataLoader
from torchvision import datasets, models, transforms
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
Property_beds = response.css('span.b6a29bc0[aria-label=Beds]::text').extract()
response.css('span.b6a29bc0[aria-label=Beds], span.b6a29bc0[aria-label=Studio]').getall()
Community Discussions
Trending Discussions on label-studio
QUESTION
I accidentally installed label studio in a wrong directory using the follow command:
docker run -it -p 8080:8080 -v `pwd`/mydata:/label-studio/data heartexlabs/label-studio:latest
Is there any way to uninstall or remove it?
...ANSWER
Answered 2021-Dec-07 at 23:54Did pwd
have anything else except for what the image installed? If not, simply delete the container and the contents that was created on your main filesystem.
If you did have something in the pwd
and the contents mixed, this is a bit trickier. You can create an empty directory, then run the image in the empty directory. After finishing you can see what directories and files got created and compare with the pwd
one by one.
QUESTION
I have a VM instance in Google Cloud with Ubuntu 20.04 LTS, I set it to allow HTTP traffic.
I need to setup Label Studio (https://github.com/heartexlabs/label-studio) in this VM so anyone can access it by just typing the VM public IP.
I already tried building it with docker:
...ANSWER
Answered 2021-Mar-15 at 15:12Try this:
sudo docker run --rm -d -p 80:8080 -v `pwd`/my_project:/label-studio/my_project --name label-studio heartexlabs/label-studio:latest label-studio start my_project --init
I was able to access it from External IP with this.
QUESTION
I am aiming to use a Vanilla JavaScript package in a more sophisticated React app to build additional logic around the JavaScript package.
The JavaScript library is LabelStudio and docs can be found here: https://github.com/heartexlabs/label-studio-frontend
However, when I try to import the LabelStudio I get an error saying Module not found: Can't resolve 'label-studio'
, as described here https://github.com/heartexlabs/label-studio-frontend/issues/55
Since my understanding of frontend code is limited, I am not sure whether this is something the developers did not expected users to do and just wanted them to use the entire library and customized instead of using the library as a component. My idea was to use the library as in the vanilla javascript example here:
...ANSWER
Answered 2020-Jul-09 at 00:08I don't have a solution making the npm module label-studio
to work. I tried importing the dist file instead, but it errors
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install label-studio
You can run the latest Label Studio version locally without installing the package with pip.
If you see any errors during installation, try to rerun the installation.
lxml
Connect your favorite machine learning model using the Label Studio Machine Learning SDK. Follow these steps:.
Start your own machine learning backend server. See more detailed instructions.
Connect Label Studio to the server on the model page found in project settings.
Pre-label your data using model predictions.
Do online learning and retrain your model while new annotations are being created.
Do active learning by labeling only the most complex examples in your data.
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