LoadingLoading

Fast Image Annotation Tool

Fast Image Annotation Tool

Solve any image or video labeling task up to 10x faster and with 10x less errors.
Kili Technology makes object detection & image classification fast and simple.

Our specialized, easy-to-use labeling tools such as bounding boxes or interactive segmentation will help you create high-quality datasets with minimal effort.

Fast Image Annotation Tool

They trust us

Focus on training data quality rather than quantity

Discover how Kili Technology will help you create accurate training data

Efficient Image Annotation Tool

[1]

Efficient Image Annotation Tool

Kili Technology’s annotation tool facilitates assigning annotations to graphical datasets in a variety of formats: from simple PNG or JPG images to more complex satellite imagery and DICOM images used for medical purposes.

Our platform is designed to create high-quality training datasets fast. All our interfaces are optimized with focus on productivity and quality and open to various types of automation: from smart tools that speed up labeling to importing full annotations created by external models.

For image classification, we cover the whole spectrum: from simple single-class tasks, through various multiple-choice options to more complex, hierarchical class arrangements that address complex ontologies.

For object detection tasks, we offer a whole host of useful tools with varying complexity: from points and polylines, through polygons and bounding boxes to more complex mechanisms like pose estimation or interactive segmentation.

Request a demo
Quality-Focused Image Annotation Platform

[2]

Quality-Focused Image Annotation Platform

The quality of your training dataset is the main focus of our image annotation tool. Focus review on data that matters by creating an efficient communication flow between annotators and reviewers.

Iterate quickly with annotators on labels to modify & avoid drift in quality. Quantify quality with insights from advanced quality metrics. 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 a predefined standard. Boost data quality with programmatic error spotting by building automated QA scripts in the labeling interface or use external error detection models. Orchestrate all your quality strategies with automated workflows.

Request a demo
Integrated Image Annotation Platform

[3]

Integrated Image Annotation Platform

Kili Technology is designed as a solution open to others ecosystems: our Python API makes Kili Technology easily integrable into your stacks. You can natively plug in YOLO and all Hugging Face models to do transfer learning and speed up the annotation process. You can also integrate natively with your current image storage in AWS, GCP or Azure buckets.

Request a demo

Leverage a suite of quality image annotation data tools & services

Everything you need to label at scale and master the quality of image labels

test

The right image tooling

check mark

All purpose image tooling with bounding boxes, polygons, segmentation, pose estimation, etc.

check mark

All image formats supported: geospatial, satellite, traffic, medical, etc.

check mark

Advanced smart tools with interactive segmentation, and auto-annotation

check mark

Support for large images & labeling optimization with support for tiles and small objects

check mark

Auto ML & pre-labeling for productivity

check mark

Advanced data quality analytics

check mark

Powerful workflows & advanced queue management

check mark

Labelers & data quality refined analytics

check mark

Advanced filtering to spot errors

check mark

Automated QA configuration

check mark

Native data integration

check mark

Advanced automation on labeling ops

check mark

Python SDK

check mark

SOC 2 compliance

check mark

Possibility of on premise data and/or full on premise deployment

check mark

Fine-grained access rights management with predefined roles & SSO integration

test

The right expertise

check mark

On demand expert workforce

check mark

Full project management

check mark

World class support

check mark

ML & Data Labelling expert

What is the best image annotation tool?

Understand where your best fit is

Model assisted labelling

Interactive segmentation

Pose estimation

DICOM support

GeoTIFF support

Optimized tiling of HD images

Complex ontologies

Advanced QA analytics

Programmatic QA

Python SDK & CLI

On-premise data

Hugging Face models

SOC2

check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark

Model assisted labelling

Interactive segmentation

Pose estimation

DICOM support

GeoTIFF support

Optimized tiling of HD images

Complex ontologies

Advanced QA analytics

Programmatic QA

Python SDK & CLI

On-premise data

Hugging Face models

SOC2

Competitor logo
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark

Model assisted labelling

Interactive segmentation

Pose estimation

DICOM support

GeoTIFF support

Optimized tiling of HD images

Complex ontologies

Advanced QA analytics

Programmatic QA

Python SDK & CLI

On-premise data

Hugging Face models

SOC2

Competitor logo
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark

Model assisted labelling

Interactive segmentation

Pose estimation

DICOM support

GeoTIFF support

Optimized tiling of HD images

Complex ontologies

Advanced QA analytics

Programmatic QA

Python SDK & CLI

On-premise data

Hugging Face models

SOC2

Competitor logo
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark

Model assisted labelling

Interactive segmentation

Pose estimation

DICOM support

GeoTIFF support

Optimized tiling of HD images

Complex ontologies

Advanced QA analytics

Programmatic QA

Python SDK & CLI

On-premise data

Hugging Face models

SOC2

Competitor logo
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark

Model assisted labelling

Interactive segmentation

Pose estimation

DICOM support

GeoTIFF support

Optimized tiling of HD images

Complex ontologies

Advanced QA analytics

Programmatic QA

Python SDK & CLI

On-premise data

Hugging Face models

SOC2

Competitor logo
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark
check mark

Labelbox

Labelbox is a data labeling platform that enables image annotation with polygons, bounding boxes, lines, and other advanced labeling tools. It was created in 2018 and is a data and image annotation tool. It offers AI-enabled labeling tools, labeling automation, human workforce, data management, and an API for integration. 

Scale AI

Scale AI is a service company that has recently developed a platform for annotating large volumes of 3D sensor, image, and video data.

Scale AI offers pre-labeling with ML models, an automated quality assurance system, dataset management, document processing, AI-assisted data annotation, generation of synthetic data and super-pixel segmentation. These services are focused on data processing for autonomous driving. 

This data annotation tool supports multiple data formats and can be used for a variety of computer vision tasks, including object detection, classification, and text recognition.

V7 Labs

V7 Labs is an automated video and image annotation tool combining dataset management, image and video annotation, autoML model training to automatically complete labeling tasks and model performance analysis. The company focuses on computer vision use cases.

SuperAnnotate

SuperAnnotate is a data annotation tool for engineers and labeling teams. The platform includes a simple communication system, recognition enhancements, image status tracking, dashboards, all optimized for image annotation. Labelers can also leverage automatic predictions and data management systems. 

Dataloop

Dataloop’s tools focus on automating data preparation. Their main focus is on computer vision based data labeling, but they also support annotation on audio, text, forms and

Frequent questions

What are the different types of image annotation?
How do you annotate an image?
What is an image annotation example?
What is the best Neural Network Architecture to make an object detection model?
What are the recent open source implementation for image annotation?
What are the algorithms that can correct image annotation errors?
What are some good tricks to speed up image annotation?
Get started

Get started

Get started! Build better data, now.