Labelbox Software Reviews

“Amazing tool for data prepration

Pros

This software really helps in getting data ready, and it offers a range of built-in tools for searching, saving, and organizing. Plus, its ability to integrate with other softwares is a big advantage.

Cons

It's a bit challenging to process images, but aside from that, I haven't had any other issues.

“Data preparation software Tool

Pros

It's extremely precise and has significantly streamlined the data preparation process. The built-in features for searching, organizing, and saving parts of datasets make managing data easy.

Cons

I haven't found any drawbacks, everything is functioning well with no problems at all.

“Best software in the Market for Data Preparation

Pros

The model-assisted labeling is so precise that it drastically cuts down the time needed for data preparation. Also, the built-in options for searching, organizing, and saving subsets of datasets make handling data much simpler.

Cons

In my experience with the software, I have not come across any major issues or significant drawbacks.

“Amazing Annotation Tool

Pros

I really appreciate the way the workflow is set up in Labelbox, and how it integrates effortlessly with other data softwares.

Cons

It tends to be buggy when processing higher resolution images.

“Was simple to use and labeling was generally user-friendly

Pros

The color coding feature stood out for me, making it much easier to organize different data categories in an image.

Cons

The interface felt a bit rough and lacking in smoothness. It would be great if the tools were a bit less complicated.

“Very easy to use

Pros

One of the best aspects is the dashboard with charts that show how much time is spent on specific listings, which is really helpful for tracking progress.

Cons

I'm not fond of the lack of customization options. If I get tired of the white background, I should be able to change it.

“One of the sorted tools, I have ever worked on.

Pros

It's great for categorizing both data and agent activities. I can quickly see how long an agent takes to complete a label and check the total number of labels completed by each agent or team. It's also easy to see how many tasks are assigned to an agent.

Cons

A comment box would be really helpful. Sometimes, agents need to note something important, and it would be useful if QA could see those comments without confusion.

“More or less i just enjoy using labelbox. There are no major mistakes, hud is beginner - friendly

Pros

As I mentioned before, the HUD is impressively simple to navigate. There are also handy tools like switches to toggle frames, light/dark modes, control lighting, and easily reposition photos.

Cons

My biggest issue is with data migration. It's not a huge problem, but it disrupts my workflow and can be quite frustrating. That's the only problem I have at the moment.

“Very handy tool that visibly changes for the better

Pros

Labelbox offers an simple interface for both project designers and labelers. While it takes a little time to get it, assistance is always available, so I'm confident any issues will get resolved.

Cons

Change is inevitable. The appearance has changed a few times, but nothing critical has come up.

“This is the best tool I have ever used as a data annotator

Pros

The tool is pretty easy to work with, and it brings together a variety of functions. I especially appreciate the auto-annotation feature, which makes finalizing annotations much quicker and more accurate.

Cons

The process for finding the subscription options is not very easy, and it would be helpful if there were clearer instructions or a more prominent location for new clients to begin their subscription.

“An annotation tool with great ergonomy

Pros

I love the annotation tool's shortcuts, they're designed to be really comfortable and efficient for the user. The Python API also allows developers to easily integrate Labelbox into their workflows.

Cons

I don't like that it struggles with handling multichannel images, which are common in scientific imaging but rare in regular computer vision. Also, the search engine has some bugs. Plus, focusing on unique IDs for data rows is not ideal for me; I'd rather search by file name, but I need to write the name on the image to look it up.

“Perfectly streamlined for what it is.

Pros

It's pretty simple. You log in, submit your labels, and you're done. The minimal interaction makes it efficient, which is exactly how data labeling should be keeping the tedious tasks quick and simple.

Cons

The group features could be a bit more transparent. For example, while labeling sunflower images with a colleague, I wasn't sure if I was duplicating their work. Despite this, the current setup runs smoothly.

“Good product to get your asset Labeled

Pros

The UI is much improved, and their SDK support is solid. Their GraphQL support also works well, and I like how they can trigger events based on labeling. Data cataloging through blob storage integration is another plus.

Cons

I still need to perform some easy tasks after labeling assets. There's a need for clearer tools for setting up labeling ontologies. The Python SDK for uploading assets also needs performance improvements.

“User Friendly App to make Annotation Easier

Pros

Labelbox simplifies my work by helping me organize images efficiently. Each new update is easy to adapt to, making it a seamless tool to use.

Cons

Most of the time, there's nothing specific I dislike. Occasionally, the program can slow down, especially during updates or similar events. When problems arise, the Labelbox team responds quickly to resolve them.

“Its easy to use

Pros

I really appreciate the color-coding feature in this software. It's incredibly helpful for organizing and distinguishing different categories or types of data.

Cons

We recommend collaborating with our Support Team for any issues you face with the software so that we can work together towards a solution.

“great UI, smooth communication with Labelbox team

Pros

The workflow for both labeling and QA is smooth, and the label filtering options are really handy for making our projects run more efficiently.

Cons

There are some bugs here and there, but they get fixed within a reasonable timeframe.

“Awesome tool

Pros

Labelbox is an excellent tool. I've been using it for a few months now, and I find it incredibly useful. It's great for managing performance and navigating through multiple tasks at once.

Cons

It's great. I can hardly find anything to dislike. It's really effective for managing performance and multitasking efficiently.

“The swiss army knife of annotation tools for data driven solutions!

Pros

The ability to augment unstructured datasets with just a few clicks, track labeled dataset features, and update labels with model predictions is a major advantage.

Cons

I'd like to see the ability to import a model package to provide model-driven labels. This way, we could work closer to the data source rather than sending the data out for predictions.

“The Best Software to work with

Pros

Labelbox is very simple to use and highly effective when you're working with it.

Cons

The only problem with this software is that labeling curves isn't very helpful, and angles become an issue during the labeling process.

“Great labeling software

Pros

The speed and reliability contribute to a more productive workflow, allowing me to focus on my tasks without being held back by technical issues or slow performance.

Cons

Issues with video export format, download time, and image load time.