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.
Top functions reviewed by kandi - BETA
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()
Trending Discussions on label-studio
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?...
ANSWERAnswered 2021-Dec-07 at 23:54
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.
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:...
ANSWERAnswered 2021-Mar-15 at 15:12
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.
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
ANSWERAnswered 2020-Jul-09 at 00:08
I don't have a solution making the npm module
label-studio to work. I tried importing the dist file instead, but it errors
No vulnerabilities reported
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.
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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