Labelbox Reviews

Labelbox is a great LLM Training Platform for both project managers and data trainers. Work through all phases of your project from planning to reviewing, pre/ to post/! Lay out tasks for trainers and notify them they have work. If you need to train data this site help help you plan and document your project making that stakeholder meeting a lot less intimidating.

The trainer can only claim 2 project tasks at a time, I would like to see it more in the lines of five. 2 just seems like nothing when there is not enough tasks to go around, because they have too many trainers on one project, and then that week your only getting paid for 2 tasks. It’s like they expect their trainers to be on stand-by at all times but expect them to be living off of less than the bare minimum.

They are making it easier for companies to initiate projects for training their respective AI algorithms. Creating jobs and opportunities for many data science students.

Labelbox provides a clean and intuitive interface for annotating images and datasets. It supports various data formats and offers customizable labeling tools, which are ideal for academic AI/ML projects. The ability to collaborate in real-time with team members is also a big plus.

The platform speeds up the data labeling process through smart tools and automation features like model-assisted labeling. It's easy to manage large datasets and assign tasks to team members, which is helpful for class or research projects involving machine learning models.

Labelbox solves the problem of organizing and labeling large datasets efficiently for machine learning projects. It provides a centralized platform where I can annotate images, manage data, and collaborate with others. This helps reduce time spent on manual labeling and improves the quality of training data for my AI models.

It made data labeling and managing data for AI & ML models easy. It helps it's users in identifying and modifying correct data labels for AI model trainings which improves model accuracy within short period of time with good quality of output.

Without a good experience in usage of Labelbox and without a good data, it's user cannot able to train AI models.

It has a user-friendly interface to use which helped out team collab and interact to build and complete our AI tool with an ease.

I like how Labelbox helps it's users by giving them a simple and better label data within short time. It contains a vast variety of tools that are simple and saves a lot of time while working as a team. t's organised data helps in making a better prompt while working with AI models.

As it contains lot of tools, a new user might find it hard working with labelbox. As it contains a large amount of data, output visualization might be slow.

It gave our team a better labels while we are working on data manipulation. It helped out team in working together and reduced errors and improved the accuracy of our data. It made our work simple and finish within the given deadline.

As of my experience labelbox user interface is very friendly for beginners and it supports multiple data types like text, video and audio.it is used for annotate and datasets which is labeled for training models in machine learning

It provide less offline capabilities and processing speed is slow when iam compaing to other platforms

It has live model training updates and its cloud based so that we can aceess anywhere to process data without failure to connect peers

Easy to setup your accout. friendly user interface

absolutely nothing. so far i have only enjoyed using it

helps make data labelling and annotations easier and faster for me

While using Lalbebox presented active learning tool, it improved my working efficiency on working with ML projects. I am able to focus on specific data points I've done my work effectively. And also it's high-quality output at reasonable prices is too good.

For small scale user's they might worried about the price, but they'll definately get compromised by it's amaizing features.

Lablebox benefited me by optimising my workflow within reasonable costs and delivering top notch results. And also it addressed several key problems in my projects, as listed:

i. In data prioritisation

It can help in generating large amount of data that can be helpful for any company.

I haven't found anything to dislike. Pricing is good and output from Labelbox is great.

It provides the data with accurate labels that can help improve readability and useability of data.

- I like how easily I can create and manage API's

- I can upload my file and process it immediately which many competitor lacks

- Referencing of any model on their model section

- Their feature called API explorer

It helps in data preparation and have many inbuilt features for searching, saving and sorting. And it's integration with other platforms

It's bit difficult to process images and other than that no issues

Tracking data easy can see task for others