NeuronWriter
Labelbox
Playment
V7
Supervisely
CloudFactory
Hive
CrowdFlower
Amazon Mechanical Turk
Universal Data Tool
CrowdFlower
Supervisely
Amazon Mechanical Turk
Labeling AI
Playment
Segments.ai
Computer Vision Annotation Tool (CVAT)
A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
The Universal Data Tool (UDT) is an open-source web or downloadable tool for labeling data for usage in machine learning or data processing systems.
The Universal Data Tool supports Computer Vision, Natural Language Processing (including Named Entity Recognition and Audio Transcription) workflows.
The UDT uses an open-source data format (.udt.json / .udt.csv) that can be easily read by programs as a ground-truth dataset for machine learning algorithms.
Labelbox Universal Data ToolService goes down often. Very slow team. Slow support.
Based on our record, Labelbox seems to be more popular. It has been mentiond 8 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.
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 / over 1 year 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 I’m honestly still very confused. Any help... Source: over 1 year 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: almost 2 years ago
LabelBox - they provide free versions for research. Source: almost 2 years ago
Doing some progress, labelbox.com allows me to do the Video annotation, and access all data through python SDK/API... Working on converting myself to CSV GCP format :-). Source: about 2 years ago
Playment - Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.
CrowdFlower - Enterprise crowdsourcing for micro-tasks
V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...
Amazon Mechanical Turk - The online market place for work.
CloudFactory - Human-powered Data Processing for AI and Automation