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Kili Reviews & Product Details

Daniel N.
DN
Small-Business(50 or fewer emp.)
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Validated Reviewer
Review source: Organic
What do you like best about Kili?

The really interactive labelling platform. It has a set of really rich features and easy to use Review collected by and hosted on G2.com.

What do you dislike about Kili?

Might be a bit difficult extracting geospatial labels. Some technical know-how needed Review collected by and hosted on G2.com.

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

It solved the need to label imagery with a couple of different labellers. With Kili, labellers were coordinated properly and the image labelling process was really smooth Review collected by and hosted on G2.com.

Kili Overview

What is Kili?

Kili Technology is a comprehensive labeling tool where you can label your training data fast, find and fix issues in your dataset, and simplify your labeling operations. Kili Technology dramatically accelerates the build of reliable AI. To create training datasets fast with Kili Technology, you are able to leverage: - Customizable interfaces for all your data: Kili Technology natively supports image, video, text, PDF documents, satellite imagery, and conversations. Leverage advanced UX that speeds up labeling and prevents tagging errors. Customize interfaces and validation rules based on your use case, and labeling process. - Powerful workflows for fast & accurate annotation: Control your labeling queue to prioritize assets, assign assets to specific labelers or add validation rules. Set a review pipeline to spot inconsistencies and send assets back to the labelers. - Automation tools to speed-up labeling: Apply interactive segmentation and tracking to accelerate labeling without compromising quality. Leverage your own-model predictions to pre-label. Use active learning to focus on human labeling and review where it will have the most impact. To find & fix the issues in your ML dataset, you can: - Focus review on data that matters: Create a communication flow between annotators and reviewers. Iterate quickly with annotators on labels to modify. Provide continuous feedback to your labeling team to avoid drift in quality. - Quantify quality with insights from advanced quality metrics: Look at the consensus by class to know when your ontology needs to be reshuffled. Look at labelers’ disagreements to identify misunderstandings among your annotator population. Filter on data slices with low quality metrics. Compare quality between labelers or against an industry standard. - Increase data quality with programmatic error spotting: Programmatically spot errors by building automated QA scripts in the labeling interface. Use error detection models to automatically find and fix issues in your ML datasets. - Orchestrate all your quality strategies with automated workflows: Fully automate & build custom workflows to scale your labeling operations. To simplify your labeling ops, Kili Technology allows you to: - Import & export data effortlessly: Integrate directly Amazon, Google, and Microsoft cloud storage to automatically start labeling without having to move your data. Track all the intermediary changes in your data and export versioned data directly in the format of your model (YOLO, PASCAL VOC, etc). - Manage your team at scale: Easily assign predefined roles (admin, manager, reviewer, labeler) to control users’ responsibilities in projects. Authenticate with specific identity providers for maximum convenience and security. Ensure the highest level of data governance & security. - Automate your MLOps infrastructure: Use webhooks to take specific actions like starting a model training, performing active learning to generate pre-labels or versioning. Create a feedback loop between your model experiments and newly produced labels. Leverage Kili API and Python SDK to connect any ML stack. At Kili Technology, we believe that focusing on high-quality training data, that is consistently labeled, is the way to unlock the value of AI. Today, we continue our journey to empower all businesses to transform unstructured data into high-quality data to dramatically accelerate the build of reliable AI. To try Kili Technology for free, join our free trial at https://cloud.kili-technology.com/label. To discover more advanced plans, check our pricing plans and talk to our team at https://kili-technology.com/pricing

Kili Details
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Languages Supported
English, French
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Product Description

Today's challenge to train machine learning models is not to get the data itself - but to get the clean labelled data - to avoid having a "garbage in garbage out" loop. While current digital transformation by AI is powered by machine learning models, this process of data annotation becomes critical. Kili Technology serves as the training data solution to facilitate data annotation for image, video and text for various Computer Vision and NLP tasks with a robust tool to manage data quality and simplify collaboration.


Seller Details
Year Founded
2018
HQ Location
Paris, FR
Twitter
@Kili_Technology
432 Twitter followers
LinkedIn® Page
www.linkedin.com
61 employees on LinkedIn®

Paul Emile C.
PC
Overview Provided by:

Recent Kili Reviews

Daniel N.
DN
Daniel N.Small-Business (50 or fewer emp.)
4.5 out of 5
"Really Good For Labelling Imagery"
The really interactive labelling platform. It has a set of really rich features and easy to use
Verified User
A
Verified UserEnterprise (> 1000 emp.)
5.0 out of 5
"A usefull software, and a little bit more..."
A software to engage both labelers and business lines into the necessary but tedious task of labelling and annotating, served by a dedicated team l...
Verified User
A
Verified UserSmall-Business (50 or fewer emp.)
4.5 out of 5
"A good tool to have in your ML flows"
* The UI is straightforward and convenient for labelers * The Python SDK is well-documented and easy to use * We were able to integrate Kili into...
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Kili Media

Kili Demo - Labeling Platform for High-Quality Training Data:
Kili Technology is one unique tool to label, find and fix issues, simplify DataOps, and dramatically accelerate the build of reliable AI.
Kili Demo - Create training datasets fast
To create training datasets fast with Kili Technology, you are able to leverage: - Customizable interfaces for all your data: Kili Technology natively supports image, video, text, PDF documents, satellite imagery, and conversations. Leverage advanced UX that speeds up labeling and prevents ta...
Kili Demo - Find & fix issues in your ML datasets
To find & fix the issues in your ML dataset, you can: - Focus review on data that matters: Create a communication flow between annotators and reviewers. Iterate quickly with annotators on labels to modify. Provide continuous feedback to your labeling team to avoid drift in quality. - Q...
Kili Demo - Simplify your LabelingOps
To simplify your labeling ops, Kili Technology allows you to: - Import & export data effortlessly: Integrate directly Amazon, Google, and Microsoft cloud storage to automatically start labeling without having to move your data. Track all the intermediary changes in your data and export ve...
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48 out of 49 Total Reviews for Kili

4.7 out of 5
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48 out of 49 Total Reviews for Kili
4.7 out of 5
48 out of 49 Total Reviews for Kili
4.7 out of 5

Kili Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons

Overall Review Sentiment for KiliQuestion

Time to Implement
<1 day
>12 months
Return on Investment
<6 months
48+ months
Ease of Setup
0 (Difficult)
10 (Easy)
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Séraphin G.
SG
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Kili?

I've been using Kili for 6 months now on a wide range of labeling use cases (both computer vision and NLP).

The stability offered by the tool is essential when you have tight deadlines and high volumes of data to annotate.

Our team of 1000+ workers is used to the tool, we've been easily able to integrate our workforce management tool to Kili with the SSO feature.

The workflow feature, allows us to implement step by step our labeling projects to customize them for each need.

Last but not least, the analytics tab is crucial, even more when the pool of workforce is that large.

The figures and metrics provided are accurate and cover all the critical items. Review collected by and hosted on G2.com.

What do you dislike about Kili?

The video annotations features are not yet wide (only b.box) but we've been told the release in Q2 2023, will integrate polygons and landmarks so as to cover the full scope of use cases. Review collected by and hosted on G2.com.

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

Kili allows us to extend our catalog of use cases and to have only one annotation tool instead of one per need (computer vision, segmentation, NLP).

Based on the performance of the tool, we've been able to work faster and with fewer technical issues. Review collected by and hosted on G2.com.

ET
Data Annotator Team Lead
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
(Original )Information
What do you like best about Kili?

One of the fantastic aspects of this platform are the quality monitoring features, which make it easier to ensure that the labeled data is accurate and reliable. Additionally, the collaboration features are useful, because it allows team members to work together, sharing progress and ensuring efficiency.

Very intuitive user-friendly interface too, making the labeling process seamless and easy to understand. Review collected by and hosted on G2.com.

What do you dislike about Kili?

I would like to see more advanced analytics to better monitor my team productivity and mine as well. Today I have a bit of trouble to see where and how I can accelerate my work. Review collected by and hosted on G2.com.

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

Kili is solving several issues for me, including the control of the quality and my team and I labels. It is very important for us because otherwise, we need to do it again.

Also, the collaboration between the team and our clients are way more seamless in the tool with the review and q&a features. Review collected by and hosted on G2.com.

Robbert R.
RR
Small-Business(50 or fewer emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Kili?

Kili stands out in its customer service. They provide great help with onboarding and provide the right resources for setting up your first projects. When one of our team mates has a question, the reply from kili is always fast and helpful. They are very open to new feedback and that is always great to see. Furthermore, they provided us with some help getting acquainted with the quality assurance tools they have.

The product itself is also pretty nice to use. Labeling is fast, and the experience is quite customizable with plenty of options for each project and keyboard shortcuts to make the experience fast. Review collected by and hosted on G2.com.

What do you dislike about Kili?

The platform looks great, and serves our needs, but some features are missing. One of the features we would have liked to see is regarding text annotation projects in images. Right now, we need to upload OCR data with the image (for which kili provided a tutorial) but it would have been great if this is done automatically. Review collected by and hosted on G2.com.

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

Kilii is helping us label data faster than before. This is for two reasons: smoother labeling experience, and easy collaboration between labelers.

Another issue kili is helping us with is higher quality data: The reason is twofold. First, the QA tools they provide. And second, because the experience is better, the quality of the labeling has improved. Review collected by and hosted on G2.com.

EA
Data Annotator
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
(Original )Information
What do you like best about Kili?

I really recommend this platform for anyone looking for a complete labeling tool to annotate text and images. I am using it a lot and it is way easier than before, i go faster and i enjoy more. Review collected by and hosted on G2.com.

What do you dislike about Kili?

The tool doesn't accept Excel and Word doc so I have to transform them before importing them. The team can do it with the API, but still costs time and quite painful. Review collected by and hosted on G2.com.

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

I use Kili to annotate data. It really is easier to do it there because I can see better the documents and the images, i can zoom better, i can switch between tasks better. It is just easier to use than the previous tool CVAT. Review collected by and hosted on G2.com.

MW
Data Labeling Director
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Kili?

What I like best in Kili is the great team and quality management. It's really easy to work on project with big teams and to review precisely who is doing what and whether there are some quality issues.

The API is also really super useful. You can easily create project, add data and manage the labeled data. We manage so many projects that it would be a nightmare without a great API Review collected by and hosted on G2.com.

What do you dislike about Kili?

Auto labeling features are not yet very common except for the semantic labeling and the video bounding box propagations.

It's really not an easy feature and there is now a kili library that helps on that and seems quite promising. Review collected by and hosted on G2.com.

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

We are a data labeling company.

We work on many different projects with various clients, team size and input data.

Kili allows us to very easily setup up some projects, manage some big team and track the quality very efficiently. Review collected by and hosted on G2.com.

Suriya E 1.
S1
Software development engineer, Student
Enterprise(> 1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Kili?

Kili is the best data labeling tool I came across. I recently used kili and was highly impressed with the experience. The venue was user-friendly and easy to navigate, which made the labeling process quick and efficient. The tools provided were intuitive and allowed me to label the data accurately and consistently.

The customer support team was also accommodating and responsive. Whenever I had a question or encountered an issue, I got a prompt and thorough response.

I wanted to take the time to thank Andrew Rodriguez for helping and guiding me and solving my queries.

Overall, I highly recommend this online data labeling platform. It is reliable, efficient, and a valuable resource for anyone in need of high-quality data labeling services. Review collected by and hosted on G2.com.

What do you dislike about Kili?

One disadvantage is that the platform may not have all the features or customization options that some users might need. The platform may not be as reliable or secure as some users might like. For example, occasional downtimes or technical issues might disrupt the labeling process. Additionally, there may be concerns about the security and confidentiality of the data being labeled. Finally, some users may prefer the personal interaction and support that comes with working with an in-house team or third-party company rather than using an online platform. This can be especially true for users who are new to data labeling and need more guidance and support.Rest the platform is simply excellent, making the challenging task more manageable. Review collected by and hosted on G2.com.

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

There are several benefits to using an online data labeling platform. One of the main benefits is the ability to label data quickly and accurately. The platform provides tools and features that make the labeling process more efficient, saving time and resources.

Another benefit is the ability to collaborate with a team of labelers. The platform allows multiple people to work on the same project simultaneously, speeding up the labeling process even further.

Online data labeling platforms can also be cost-effective compared to hiring in-house labelers or outsourcing the work to a third-party company.

Finally, using an online platform ensures that the data is labeled consistently, which is essential for the accuracy and reliability of the data. Overall, an online data labeling platform can significantly benefit organizations that need high-quality labeled data for machine learning or other purposes. Review collected by and hosted on G2.com.

Mennella C.
MC
Student
Computer Software
Small-Business(50 or fewer emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
(Original )Information
What do you like best about Kili?

the ease of the system is very intuitive and very simple to use plus it has a team behind it that is respectable both for their previous path and for their kindnessthe ease of the system is very intuitive and very simple to use plus it has a team behind it that is respectable both for their previous path and for their kindness Review collected by and hosted on G2.com.

What do you dislike about Kili?

a section in Italian would also be excellent for those who do not speak the language , even some of them speak Italian then I would improve the description of some datasets Review collected by and hosted on G2.com.

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

one of the biggest problems is to find labeled datasets or at least a labeling system in this kilo it helps indeed it is supportive for my thesis in fact it will be mentioned Review collected by and hosted on G2.com.

MA
Enterprise(> 1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Kili?

Kili's support is extremely helpful and managed to solve all our problems in record time. They enabled my team and I to fully use the tool and make sure the quality of labels created were optimal. Review collected by and hosted on G2.com.

What do you dislike about Kili?

The API is too complex to use if you don't have technical knowledge like me. I couldn't set up more advanced quality workflows. I managed to set up the standard ones. Review collected by and hosted on G2.com.

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

I use Kili for my team. We annotate data of our clients. It's really benefitial because with Kili we are way more productive thanks to the labeling interfaces UX & the review/quality interfaces, so we make sure of the high quality of the labels we do.

I'm not sure of the price of the tool. Review collected by and hosted on G2.com.

Novrial S.
NS
Enterprise(> 1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
(Original )Information
What do you like best about Kili?

Kili Technology is really easy to use for annotators. I go faster to annotate with the shortcuts and the good UX.

I can also better go from a project to another and see what I need to do left. Review collected by and hosted on G2.com.

What do you dislike about Kili?

I think it could better to handle the BBOX and delete them more easily, I still lose time on that.

Other than that, the product answers to most of my needs and I don't see other things I dislike. Review collected by and hosted on G2.com.

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

I am annotator so I work on Kili to annotate the client's data.

It is my main place to work so it benefits me a lot. It solves my main problems of annotating data. Review collected by and hosted on G2.com.

SA
Search Engine Optimization Team Lead
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Kili?

What I appreciate most about Kili is their excellent team and quality control. It's incredibly user-friendly for working on projects with large teams, and allows for precise review of who is responsible for what tasks, while also monitoring for any potential quality issues.

Furthermore, the API is highly practical and easy to use. It enables swift creation of projects, addition of data, and management of labeled data. Given the multitude of projects we handle, it would be a daunting task without such a fantastic API. Review collected by and hosted on G2.com.

What do you dislike about Kili?

Automated labeling capabilities, aside from semantic labeling and video bounding box propagations, are still relatively uncommon.

Implementing such a feature is no small feat, but thankfully there is now a Kili library available to assist with this process, which shows great promise. Review collected by and hosted on G2.com.

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

Our company specializes in data labeling services, working on a variety of projects for clients with varying team sizes and input data.

Kili enables us to effortlessly set up projects, efficiently manage large teams, and effectively track quality throughout the entire process. Review collected by and hosted on G2.com.