# Lightly Reviews
**Vendor:** Lightly  
**Category:** [Active Learning Tools](https://www.g2.com/categories/active-learning-tools)  
**Average Rating:** 4.4/5.0  
**Total Reviews:** 14
## About Lightly
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&#39;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&#39;s Lightly: The end-to-end active learning solution.



## Lightly Pros & Cons
**What users like:**

- Users find **AI modeling efficient** with Lightly, as it simplifies data labeling and improves training outcomes. (2 reviews)
- Users value the **performance speed** of Lightly for efficient AI model training and quick data processing. (2 reviews)
- Users value the **quality data selection** of Lightly, enhancing AI learning efficiency and effectiveness. (1 reviews)
- Users find that Lightly facilitates **efficient learning** for AI by selecting high-quality data, enhancing performance significantly. (1 reviews)
- Users appreciate the **time-saving** benefits of Lightly, enjoying quick access without the hassle of cloud storage. (1 reviews)
- User Interface (1 reviews)

**What users dislike:**

- Users often face **learning difficulties** with Lightly, struggling to produce good data without prior experience. (2 reviews)
- Users face challenges due to **limited customization** , affecting the accuracy and adaptability of Lightly&#39;s functionalities. (1 reviews)

## Lightly Reviews
  ### 1. It helps you to train AI with more effectively and efficiently

**Rating:** 4.5/5.0 stars

**Reviewed by:** Ramu K. | Trainee decision scientist lll, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 11, 2025

**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.

**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.

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

It helped our team with by reducing the cost and time of labelling while we working through large data sets. Lightly mainly focuses on important data instead of labeling everything. This identification can helps in creating a better AI models and that too faster.

  ### 2. "Helps you choose the best data"

**Rating:** 4.5/5.0 stars

**Reviewed by:** Rohith S. | Associate Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 02, 2025

**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.

**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.

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

It made me choose the best data that I need to train AI models well with proper functioning.

  ### 3. Data labelling and annotation using ml

**Rating:** 3.5/5.0 stars

**Reviewed by:** Harika S. | Intern, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 04, 2025

**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.

**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.

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

I searched for tensor flow lite and it gave like it is used in mobile and embedded devices and some advantages and disadvantages so it helped me in my work .

  ### 4. Efficient and User-Friendly Data Labeling Tool

**Rating:** 4.0/5.0 stars

**Reviewed by:** Matt H. | Business Analyst, Consulting, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 17, 2024

**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.

**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.

**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.

  ### 5. Single fit solution to all our ML pipelines

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 30, 2024

**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.

**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.

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

We have integrated it with multiple data sources like AWS S3, Google Cloud Storage, and local storage, and our scheduling job runs directly from Python code ensures complete control and reproducibility- our ML teams' productivity has increased by huge margin.

  ### 6. I Have a great experience with Lightly for Training AI in my organization

**Rating:** 5.0/5.0 stars

**Reviewed by:** Mohammad M. | Advanced AI trainer, Enterprise (> 1000 emp.)

**Reviewed Date:** July 31, 2024

**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

**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

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

Lightly is solving my biggest problem in AI data training. Lightly help me pick the best 1% of their data to label. By labeling the most representative data, it significantly improves modals accuracy at the same cost.

  ### 7. Revise quicker on the model creation

**Rating:** 4.0/5.0 stars

**Reviewed by:** Antonio M. | Chief Sales Officer, Government Administration, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 12, 2024

**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.

**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.

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

Lightly is solving one of the most important problems of data selection in machine learning. It brings labeling to levels which significantly lower than the amount we need, which typically, consumes most of our time with machine models.

  ### 8. Easy to set up labeling tasks and monitor progress

**Rating:** 4.0/5.0 stars

**Reviewed by:** Nguyen G. | Project Manager, Transportation/Trucking/Railroad, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 03, 2024

**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.

**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.

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

Lightly has been a good for my team to label data. By choosing the most relevant data features, it greatly minimizes the number of samples that is to be labeled, which in return saves a lot of time and costs.

  ### 9. Quality Approach for Effctive Learning

**Rating:** 4.5/5.0 stars

**Reviewed by:** Alessandro T. | Systems Analyst, Health, Wellness and Fitness, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 19, 2024

**What do you like best about Lightly?**

Lightly is an effective solution that makes machine learning suitable and easy.
Lightly has integrated advanced filtering features, and this helps remove redundancies. 
The perfomance monitoring process is accurately enhanced.

**What do you dislike about Lightly?**

Lightly has sustainable option for data management, and this has nothing challenging.

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

Lightly has effective ways in managing all the database, and this helps in controlling the analytical options.
Lightly has an advanced data filtering, and this helps remove all database that has redundancies. 
The process of discovering data sets also helps make the best business investment.

  ### 10. Best data selection tool for your ML Model

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.)

**Reviewed Date:** August 20, 2024

**What do you like best about Lightly?**

The best thing is the ease of doing things using Ligtly and I like how fast it processes the data like thousands of images in few hours as compared to other tools that takes days to process such huge amount of data

**What do you dislike about Lightly?**

sometimes data redundancy is not removed

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

It has helped me a lot to prepare datasets for my ML model and prepare dataset after removing redundancy and noise from the datasets also the data selection process is just so smoooth loved it.

  ### 11. one stop solution for all our ML workflows

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Leisure, Travel & Tourism | Mid-Market (51-1000 emp.)

**Reviewed Date:** August 12, 2024

**What do you like best about Lightly?**

I am amazed and delighted at how easy it has made our job to filter out which data points are the most efficient to feed in our ML models. Quite easy to implement, seamless integration, and a good number of features makes this tool easily one of our top choices.

**What do you dislike about Lightly?**

As of nothing haven't found anything. Will update if I find.

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

Helps me in prepare our data very efficiently and drive business solutions from it.

  ### 12. For automat data is so vast with accuracy.

**Rating:** 4.0/5.0 stars

**Reviewed by:** Avez B. | Junior engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 07, 2024

**What do you like best about Lightly?**

Lightly scales to big data sets with millions of images or thousands of videos. Processing these large data sets require a special architecture.

**What do you dislike about Lightly?**

Not easy to understand for every one person.

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

It is beneficial for algorithm development.

  ### 13. Best platform for management and curation of datasets,

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.)

**Reviewed Date:** August 12, 2024

**What do you like best about Lightly?**

Lightly can enhance the oervall quality of the dataset and its easy to use.

**What do you dislike about Lightly?**

not comprehenshive solution with storage.

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

Can handle large amount of data.

  ### 14. A great solution to focus on the right training data

**Rating:** 5.0/5.0 stars

**Reviewed by:** Tom S. | Head of marketing, Small-Business (50 or fewer emp.)

**Reviewed Date:** February 07, 2023

**What do you like best about Lightly?**

It's hard to find tools that are both powerful and easy to use and this is definitely one of them. It allows us to get the most out of our data by helping us reduce data redundancy and train a better model.

**What do you dislike about Lightly?**

Nothing so far. A great tool with a great support team begind it.

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

Lightly helps us reduce time spent on data preparation and retraining and allows us to focus on the areas with the biggest impact on business



- [View Lightly pricing details and edition comparison](https://www.g2.com/products/lightly/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-14+05%3A59%3A04+-0500&secure%5Bsession_id%5D=ae6f7d1c-2672-4abc-b986-2e3ae0aea3bb&secure%5Btoken%5D=ea4a06faf1a7ec7e5d86ca3a71d02389e9314d6c109bd5b078d37c653c5e2988&format=llm_user)

## Lightly Features
**Data Source Access**
- Breadth of Data Sources
- Ease of Data Connectivity
- API Connectivity

**Model Training & Optimization - Active Learning Tools**
- Model Training Efficiency
- Automated Model Retraining
- Active Learning Process Implementation
- Iterative Training Loop Creation
- Edge Case Discovery

**Data Interaction**
- Profiling and Classification
- Metadata Management
- Data Modeling
- Data Joining
- Data Blending
- Data Quality and Cleansing
- Data Sharing
- Data Governance

**Data Management & Annotation - Active Learning Tools**
- Smart Data Triage
- Data Labeling Workflow Enhancement
- Error and Outlier Identification
- Data Selection Optimization
- Actionable Insights for Data Quality

**Data Exporting**
- Breadth of Integrations
- Ease of Integrations
- Data Workflows

**Model Performance & Analysis - Active Learning Tools**
- Model Performance Insights
- Cost-Effective Model Improvement
- Edge Case Integration
- Fine-tuning Model Accuracy
- Label Outlier Analysis

**Generative AI**
- AI Text Generation

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