Labelbox VS Diggernaut
Compare Labelbox VS Diggernaut and see what are their differences
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Labelbox
Playment
Supervisely
CloudFactory
Universal Data Tool
CrowdFlower
Dataloop AI
Labeling AI
Diggernaut
import.io
Octoparse
artoo.js
Webhose.io
Crawlbase
eScraper
Agenty
A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
Company offering cloud based web scraping and data extraction platform that works not only with HTML pages as data source but also with JS, JSON, XML, documents like iCal, XSLX, XLS, CSV and images. Extracted data kept in the database as dataset which can be downloaded in various formats, retrieved via API or pushed to any other destination upon completion. Integrated with such services like Zapier, Tableau, OSM, Luminati, DeathByCaptcha.
Labelbox DiggernautService goes down often. Very slow team. Slow support.
Based on our record, Labelbox seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Cursor's security agents primarily operate in the first dimension, catching vulnerabilities in code. That's valuable and necessary work. But as you'll see in the walkthrough below, the other two dimensions matter just as much, especially at enterprise scale. And the organizations getting the best results, like Labelbox, which cleared a multi-year vulnerability backlog by running Cursor and Snyk together, are the... - Source: dev.to / 5 months ago
Use tools like Weights & Biases, Labelbox, or Maximโs data engine to version your datasets, track changes, and continuously add new edge cases and user feedback. - Source: dev.to / about 1 year ago
Labelbox | Remote | Frontend / WebGL, Backend, Engineering Managers | https://labelbox.com Labelbox is building the training data platform to power breakthroughs in machine learning. We provide an end to end solutions for the full AI lifecycle from creating catalogs of unstructured data all the way to building the tools for humans to label the data to teach machines. Why choose us? - Source: Hacker News / almost 4 years ago
Hey, I have currently developed a U-Net model for segmentation and I am trying to use the model assisted labeling feature on LabelBox to annotate some masks, so I can save time on relabeling. I am just wondering if anyone is familiar with this feature or can give me a step by step guideline on how to go about doing this. I went through the examples on their GitHub but Iโm honestly still very confused. Any help... Source: about 4 years ago
By now, I hope you see where I'm going with this. What is MDR doing? They're creating the labelled data used to train severance chips. They get a raw download of human brains in encoded format, and go about manually labelling the different pieces based on their most basic elements. Then, based on this manually labelled data, an algorithm can be trained to create a severance chip. MDR is basically Labelbox for... Source: about 4 years ago
Playment - Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.
import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.
Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
CloudFactory - Human-powered Data Processing for AI and Automation
artoo.js - Artoo.js provides script that can be run from your browserโs bookmark bar to scrape a website and return the data in JSON format.