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Kili Reviews & Product Details - Page 3

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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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
434 Twitter followers
LinkedIn® Page
www.linkedin.com
61 employees on LinkedIn®

Paul Emile C.
PC
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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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49 Kili Reviews

4.7 out of 5
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49 Kili Reviews
4.7 out of 5
49 Kili Reviews
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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Thomas C.
TC
Applied Scientist/Data Scientist
Enterprise(> 1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Kili?

Having weekly syncs with Kili to report issues and to give and get recent updates about projects we are implied in. Being able to discuss with annotators. Review collected by and hosted on G2.com.

What do you dislike about Kili?

I think the Python API could be better documented. I also encountered bugs when navigating through the interface but all of them have been fixed. Review collected by and hosted on G2.com.

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

Labeling videos to constitute an evaluation dataset in order to validate the performance of a model trained on synthetic data. Review collected by and hosted on G2.com.

Manouel A.
MA
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Kili?

With Kili I annotate my data with ease for my models. It doesn't care if it is an image, a video, a pdf, some text, etc. Review collected by and hosted on G2.com.

What do you dislike about Kili?

The Sales Representative was too convincing, he found the solution to all my problems ahahah Review collected by and hosted on G2.com.

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

I don't have to configure a data labeling tool for hours before beginning the annotation, thus I'm saving a lot of time Review collected by and hosted on G2.com.

Nicolas R.
NR
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Kili?

Interface, API, support, reactivity in customer interactions Review collected by and hosted on G2.com.

What do you dislike about Kili?

Visibility on the production lead time. It might in some way be difficult to help ramp up quickly on the project needs Review collected by and hosted on G2.com.

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

Good quality labelling has been important for us as well as the ability to loop back on the annotation to take in consideration our evolving product constraints Review collected by and hosted on G2.com.

DS
IT Manager
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Kili?

I utilized Kili Technology for a comprehensive global labeling and annotation project, and found its interface to be remarkably user-friendly and easy to master, despite the varied types, formats, regulations, and tags of images. The interface's automation and pre-labeling tools also allowed our team to complete the project at a quicker pace. Review collected by and hosted on G2.com.

What do you dislike about Kili?

The enterprise version may seem pricey for collaborative non-profit projects, however it may be possible to negotiate the cost by contacting the business development/partnerships team Review collected by and hosted on G2.com.

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

CLI allows for management of labeling, annotation, drift control, quality metrics, error detection, data upload and download. The API connectivity enables scaling and integration into our architecture. Review collected by and hosted on G2.com.

Rasia f.
RF
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Review source: Organic
What do you like best about Kili?

Thanks to team management capabilities, it is possible to create roles and to assign tasks to each person. This way, the client and labeling team can cooperate, making it more easy too create training datasets Review collected by and hosted on G2.com.

What do you dislike about Kili?

Filtering the dataset could be improved, for exemple using negative filter and associating them with other filters. Review collected by and hosted on G2.com.

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

Creating a ground truth with manual data labeling is usually long and reviewing 100% of the data is highly inefficient. Kili allows us to set a reviewing percentage (or a consensus percentage) which allow us to verify that the data is well labaled. Review collected by and hosted on G2.com.

Verified User in Farming
AF
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Review source: Organic
What do you like best about Kili?

* 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 our pipelines pretty smoothly Review collected by and hosted on G2.com.

What do you dislike about Kili?

* There are still some interesting features we use that are under development, making the Python API not super stable

* Some UX improvements in the management of projects could be made: sorting, filtering, etc. Review collected by and hosted on G2.com.

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

* Quality of the annotations: using integrated scores, the system of issues and webhooks, we are able to improve the overall quality of our annotations

* Cost of the annotations: as the UI is pretty convenient, labelers can complete their task faster Review collected by and hosted on G2.com.

Safa M.
SM
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Review source: Organic
What do you like best about Kili?

The workforce was helpful and considerate. They took the time to review the annotations according to the instructions book, and the annotators asked questions whenever they were uncertain about the annotation. The communication was fluid and efficient. Review collected by and hosted on G2.com.

What do you dislike about Kili?

In my opinion, the project took a lot of time. I'm aware of the difficulty of the project itself but I think giving the annotators the right tools would reduce the annotation time (in this project a tracking feature). Review collected by and hosted on G2.com.

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

Kili helped us annotate about 1000 videos to evaluate our model. The homemade dataset we created with Kili was crucial for our model's benchmark. Review collected by and hosted on G2.com.

Diary R.
DR
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Kili?

Simpler statistics are available to any Team Manager, which allows us to manage efffectively our labeling team Review collected by and hosted on G2.com.

What do you dislike about Kili?

"I think Kili team could provide more content to self onboard. I had to talk to the support to do basics actions, could have been more efficient.

" Review collected by and hosted on G2.com.

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

It is simplyfing management of my labeling team Review collected by and hosted on G2.com.

Dan B.
DB
Data Science Manager
Enterprise(> 1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Kili?

Top tool for Computer Vision use case to label data.

Kili provided annotators and it was super easy and convenient to collaborate with them.

We were using CVAT before but it was impossible to label at scale while with Kili we could train way more data and monitor the quality. Review collected by and hosted on G2.com.

What do you dislike about Kili?

Uploading our assets was sometimes difficult. Review collected by and hosted on G2.com.

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

Scaling labeling while controlling the quality. Work with outside annotators. Review collected by and hosted on G2.com.

Estelle V.
EV
Computer Vision Research Engineer
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Review source: Organic
What do you like best about Kili?

Computer Vision interfaces are really handy, I could build the ontology needed, fully adapted to my use case.

Like other tools, consensus and honeypot are nice but I was really impressed by the custom workflows and Plug-ins. I was really able to ensure a high quality for my dataset.

Team was really helpful and provided us with a opened license to pursue our research project. Review collected by and hosted on G2.com.

What do you dislike about Kili?

A bit complex to manage my dataset inside Kili, even if some features were helpful. I would advise keep developing this. Review collected by and hosted on G2.com.

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

I needed to label several thousand images for a research project. Review collected by and hosted on G2.com.