It's been two months since this profile received a new review

Lightly Reviews & Product Details

Lightly helps machine learning teams to build better models through better data. It allows companies to select the right data for model training by using active learning. Intelligently select the best samples for model training through advanced filtering and active-learning algorithms. Balance your class distributions, remove redundancies and dataset bias. Label only the best data for model training until you reach your target accuracy. Analyze the quality and diversity of your datasets. Better understand your data with Lightly's holistic views from the big picture down to the smallest nuances of your data. Uncover class distributions, dataset gaps, and representation biases before labeling to save time and money. Monitor your model performance in production. Spot outliers and failure cases. Select out-of-distribution data directly on the edge or cloud. Send data back for retraining and updating the model. Manage your dataset. Track different versions, and once your dataset is ready, simply share with labeling with the click of a button. That's Lightly: The end-to-end active learning solution.

Seller

Lightly

Languages Supported

English

Product Description

Lightly helps machine learning teams to build better models through better data. It helps to curate unlabelled data to improve its quality for model training. Analyze the quality and diversity of your datasets. Better understand your data with Lightly's holistic views from the big picture down to the smallest nuances of your data. Uncover class distributions, dataset gaps, and representation biases before labeling to save time and money. Intelligently select the best samples for model training through advanced filtering and active-learning algorithms. Balance your class distributions, remove redundancies and dataset bias. Label only the best data for model training until you reach your target accuracy. Manage your dataset. Apply automated labeling. Track different versions, and once your dataset is ready, simply share with labeling with the click of a button.

Overview by

Matthias Heller

Top-Rated Alternatives

View All Alternatives

Lightly Media

Lightly Demo - Data Insights for Computer Vision

Understand machine learning data

Lightly Demo - Data Curation for Machine Learning

Curate your machine learning data

Lightly Demo - Active Learning for Computer Vision

Select the right data for model training

Lightly Reviews (15)

G2 reviews are authentic and verified.

Here's how.

Ramu K.

Trainee decision scientist lll

Mid-Market (51-1000 emp.)

3/11/2025

"It helps you to train AI with more effectively and efficiently"

4.5/5

What do you like best about Lightly?

It's is very useful in identifying the exact data labeling that is used for a better AI model training purpose. It helps in extracting unnecessarily data that messes up our training module. This can inturn helps in a quick and effective output. And it's user interface is simple and easy to use for every developer. Review collected by and hosted on G2.com.

What do you dislike about Lightly?

If the AI model is trained by unfiltered data labeling, the output might be not as expected. So the data has to be thoroughly verified before proceeding. Review collected by and hosted on G2.com.

Rohith S.

Associate Engineer

Mid-Market (51-1000 emp.)

3/2/2025

""Helps you choose the best data""

4.5/5

What do you like best about Lightly?

It helps us by choosing a good data for AI, a good data always helps AI in learning faster and better way. Review collected by and hosted on G2.com.

What do you dislike about Lightly?

People who are new to it may find difficulty in working as they might not pick good data. it needs experience to get good data, otherwise model will not work well. Review collected by and hosted on G2.com.

Harika S.

Intern

Mid-Market (51-1000 emp.)

3/4/2025

"Data labelling and annotation using ml"

3.5/5

What do you like best about Lightly?

It gives fast response and limits battery and storage and gives easy accessing and it also reduces the cost because no need to use cloud for data storing. Review collected by and hosted on G2.com.

What do you dislike about Lightly?

Sometime times it doesn't give accurate answer and it only offers image recognition or nutral language

Processing and also limited adaptability. Review collected by and hosted on G2.com.

Matt H.

Business Analyst

Consulting

Small-Business (50 or fewer emp.)

8/17/2024

"Efficient and User-Friendly Data Labeling Tool"

4/5

What do you like best about Lightly?

Lightly's data labeling application is intuitive and you don't have to be an expert at coding due to the reusable examples. The active learning and pre-labeling tools are especially useful, and the integration with machine learning frameworks streamlines the entire workflow from labeling to model training. Review collected by and hosted on G2.com.

What do you dislike about Lightly?

The advanced features can have a bit of a learning curve. More video examples, such as GIFs, in the tutorial docs would help new users get up to speed faster. Review collected by and hosted on G2.com.

What problems is Lightly solving and how is that benefiting you?

Lightly efficiently labels data for video summarization projects, crucial for training accurate machine learning models. This has accelerated our projects and improved productivity since you can work directly with the video as opposed to individual frames, allowing us to focus more on selecting the best summarized snippets and deliver better results for clients. Review collected by and hosted on G2.com.

Verified User in Education Management

Mid-Market (51-1000 emp.)

7/30/2024

"Single fit solution to all our ML pipelines"

4.5/5

What do you like best about Lightly?

Automating data curation and selecting the most reasonable data for labeling is a significant time-saver, and it can also handle large datasets with ease, processing millions of images or thousands of videos daily swiftly- this feature is loved by my team. It is so easy to incorporate into our workflow. Implementation was super easy as our team was easily able to set it up in just a week, with full support from the Lightly team. Review collected by and hosted on G2.com.

What do you dislike about Lightly?

While comprehensive, I feel documentation could be more detailed for complex use cases, and the platform UI could be more intuitive and visually appealing. I guess for smaller teams or startups, the pricing may be a bit steep; more flexible pricing options could be beneficial. Review collected by and hosted on G2.com.

Mohammad M.

Advanced AI trainer

Enterprise (> 1000 emp.)

7/31/2024

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

5/5

What do you like best about Lightly?

i find it helpfull. I am learning about this but still i can say that it is really helping me do my job Review collected by and hosted on G2.com.

What do you dislike about Lightly?

i didn't disliked anything about it...i can say that as i am in learning phase of it still it is helping me Review collected by and hosted on G2.com.

Antonio M.

Chief Sales Officer

Government Administration

Mid-Market (51-1000 emp.)

8/12/2024

"Revise quicker on the model creation"

4/5

What do you like best about Lightly?

I have found that Lightly’s active learning features have been useful for my team. We are now in a position to pinpoint the best features to use when labeling, and hence minimize the amount of data used to train the models. Review collected by and hosted on G2.com.

What do you dislike about Lightly?

Lightly does not perfectly synchronize with all our other tools. Deploying transfer of data from Lightly to the labeling platform sometimes involves multiple steps meaning that mistakes can be made. Review collected by and hosted on G2.com.

Nguyen G.

Project Manager

Transportation/Trucking/Railroad

Small-Business (50 or fewer emp.)

8/3/2024

"Easy to set up labeling tasks and monitor progress"

4/5

What do you like best about Lightly?

Lightly’s AL is great in determining which data points are worth labeling to feed my machine learning models, and with less time and effort. Review collected by and hosted on G2.com.

What do you dislike about Lightly?

Some of the labeling tools that lightly provides are also rather rigid by themselves. When it comes to more intricate datasets where the data points are differentiated fine, the current ways of labeling seem restricted. Review collected by and hosted on G2.com.