Lightly Reviews

“Best data selection tool for your ML Model

Pros

What stands out for me is how simple it is to get things done with Lightly, and I really appreciate how quickly it processes data. It can handle thousands of images within a few hours, while other tools would take days to manage such large amounts of data.

Cons

At times, I notice that data repetition is not always eliminated.

“Quality Approach for Effctive Learning

Pros

Lightly is a practical solution that makes machine learning more accessible and simple to work with.

Cons

Lightly offers a sustainable approach to managing data, and honestly, there's nothing particularly difficult about it.

“Efficient and User-Friendly Data Labeling Tool

Pros

The data labeling application in Lightly is easy to grasp, and thanks to reusable examples, you don't need advanced coding skills. Its active learning and pre-labeling features are particularly valuable, and integrating with machine learning frameworks simplifies the workflow, from labeling to model training.

Cons

Some of the advanced features can be a bit tricky to master at first. I think including more visual aids, like GIFs in the tutorial documentation, would really help newcomers grasp things more quickly.

“Best software for management and curation of datasets,

Pros

Lightly can improve the overall quality of datasets, and it's very simple to navigate.

Cons

It doesn't feel like a comprehensive solution when it comes to storage.

“Revise quicker on the model creation

Pros

I've noticed that Lightly's active learning features have been beneficial for my team. We're now able to identify the most valuable features for labeling, which helps reduce the amount of data needed for training our models.

Cons

Lightly doesn't always sync flawlessly with all of our other tools. Sometimes transferring data from Lightly to the labeling software takes several steps, which can lead to errors.

“one stop solution for all our ML workflows

Pros

I'm really impressed by how much easier it has made our work when filtering out the most useful data points for feeding into our ML models. It's pretty simple to implement, integrates easily, and offers a wide range of features, making it one of our top picks.

Cons

I haven't come across any issues. I'll update my review if anything comes up.

“For automat data is so vast with accuracy.

Pros

Lightly is capable of scaling to handle massive datasets, including millions of images or thousands of videos, which requires a specialized architecture.

Cons

It's not the easiest thing for everyone to get the hang of.

“Manage and Provide Accurate datasets

Pros

It's easy to operate, and it provides me with the most insightful datasets.

Cons

I have nothing to complain about. It works just fine for me.

“Easy to set up labeling tasks and monitor progress

Pros

Lightly's active learning feature is fantastic for determining which data points are worth labeling for my machine learning models, requiring much less time and effort.

Cons

Some of the labeling tools provided by Lightly are a bit rigid on their own. For more detailed datasets where the distinctions between data points are subtle, the current labeling methods feel somewhat limited.

“I Have a great experience with Lightly for Training AI in my organization

Pros

I find it quite helpful. I'm still learning, but even at this stage, I can confidently say it's really assisting me in getting my work done.

Cons

I haven't found anything I dislike so far. Even though I'm still learning, it's been really helpful.

“Single fit solution to all our ML pipelines

Pros

Automating data curation and selecting the most relevant data for labeling has saved us a lot of time, plus it handles large datasets easily, processing millions of images or thousands of videos quickly. My team loves this feature. It was super easy to integrate into our workflow. Our team set it up in just a week with great support from Lightly.

Cons

Although it's quite thorough, I think the documentation could be more detailed for complex scenarios, and the software's interface could be made more easy and visually engaging. Also, for smaller teams or startups, the price might be a bit high; more flexible pricing options could be a good addition.

“A great solution to focus on the right training data

Pros

It's tough to find tools that are both strong and simple to work with, but this one fits the bill perfectly. It helps us make the most of our data by reducing redundancy and improving model training.

Cons

I've got nothing negative to say. It's a solid tool with great support behind it.