Labelbox
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Labeling AI
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A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
Labelbox Amazon EKSService goes down often. Very slow team. Slow support.
Based on our record, Amazon EKS should be more popular than Labelbox. It has been mentiond 79 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 / 4 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 / 12 months 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: almost 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
On managed Kubernetes platforms like EKS, this has a second benefit: the cluster autoscaler pays attention to resource requests when deciding whether to add new nodes. - Source: dev.to / about 1 month ago
After returning from AWS Summit London 2026 I was doing some research on running AI/ML workload in AWS EKS with Karpenter. With some assistance from Gemini I turned some of my notes from various talks into this guide that will talk through the intricacies of deploying and scaling Generative AI (GenAI) workloads on AWS EKS, leveraging the power of Karpenter. - Source: dev.to / 2 months ago
This post is a small step in that direction: serving an LLM using vLLM, deployed on Amazon EKS, provisioned the infra using AWS CDK, and wrapped into a simple chatbot using Streamlit. - Source: dev.to / 3 months ago
In this post, I'll walk you through setting up observability for Spring Boot applications on Amazon EKS - starting with the basics (logs and metrics), diving into distributed tracing, and finishing with Application Signals. Hopefully this saves you some time. - Source: dev.to / 6 months ago
Running Apache Spark on Kubernetes with AWS EMR on EKS brings big benefits โ you get the best of both worlds. AWS EMR's optimized Spark runtime and AWS EKS's container orchestration come together in one managed platform. Sure, you could run Spark on Kubernetes yourself, but it's a lot of manual work. You'd need to create a custom container image, set up networking, and handle a bunch of other configurations. But... - Source: dev.to / 8 months ago
Playment - Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.
Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
CloudFactory - Human-powered Data Processing for AI and Automation
Azure Container Service - Azure Container Service is a solution that optimizes the configuration of popular open-source tools and technologies specifically for Azure, it provides an open solution that offers portability for both users containers and users application configuโฆ
