Data Annotation Services & Image Annotation For AI & ML Models
Looking for data labeling services? We provide data annotation services with 95%+ accuracy across various industries with our workforce of 1000+ data annotation specialists.
Data Annotation Services & Image Annotation For AI & ML Models
Looking for data labeling services? We provide data annotation services with 95%+ accuracy across various industries with our workforce of 1000+ data annotation specialists.
Our Data Annotation Services
We at Annotation Box continue to innovate and provide data annotation services for computer vision, data processing, and content moderation. With one of the most highly skilled human-in-the-loop workforce solutions providers in the industry, we produce high-quality labeled data for your machine-learning models with the best data annotation tools.
We’re class above the competition when it comes to providing top-of-the-line image & video annotation, text annotation, content moderation, text classification, Natural language processing (NLP) & audio annotation.
Our 5+ years of experience in data labeling services allows us to meet any scale of your data annotation requirements with precision and confidentiality.
Image Annotation
Image annotation assists in labeling various objects in the image for Computer Vision, Machine Learning, and Object Detection Models.
We provide high-quality data annotation to train your AI models more accurately, including bounding boxes, polygon annotations, semantic and panoptic segmentation, and polyline annotations.
Video Annotation
We label every frame of the video footage to train machine learning algorithms to identify & detect objects for use in Robotics, Self-driving cars, Drones, and Satellite Imagery in the footage using Video Annotation services.
It’s important to label and annotate datasets precisely in the video for precise object tracking by the AI and machine learning models to identify objects as humans.
Text Annotation
Enhance your Automated chatbot tools, Speech recognition models with our high-quality text annotation services.
Our Text Annotation and metadata labeling help computer vision models understand text data meaning accurately. Texts are annotated for machine learning using natural language processing, sentiment analysis, and named entity recognition.
Audio Annotation
Audio annotation is the process of transcribing audio to text and annotating it using NLP, Named Entity Recognition (NER), and Sentiment analysis to help AI-enabled computer vision models derive meaningful data.
With our high-quality audio data annotation, you can train, develop, and optimize your virtual assistants, chatbots, voice recognition security systems, etc accurately.
Content Moderation
Social media platforms give users the freedom to share anything they want, which causes inappropriate content to be posted, putting the business’s reputation at stake.
Your business reputation and revenue can be negatively affected by negative reviews in this digital age. With Annotation Box’s content moderation services, you can monitor, rectify, and restrict objectionable content posted by users.
Product Categorization
Annotation Box delivers product categorization by labeling unstructured data generated by the user like Text, Video, Images, etc. Training data with 95% accuracy to help the model detect products of a given category.
Use our product categorization service to train your e-commerce AI algorithms and enhance your buyer’s experience with personalized recommendations, new relevant product suggestions, etc.
Geospatial Annotation
Geospatial annotation helps adding metadata to satellite images, drone images, maps, etc to provide additional information about the location and characteristics of specific features depicted in the image.
Geospatial annotation is commonly used in a variety of applications, including satellite imagery, aerial photography, solar panels, harbors, etc.
Medical Annotation
Medical Data annotation enables you to harness the power of AI and machine learning in Healthcare. We provide data annotation to leading pharmaceutical companies, device manufacturers, etc to ensure accuracy in surgical, diagnostics, and medical operations.
Create high-quality training data using our medical image data labeling to facilitate accurate disease detection and cutting-edge medical solutions.
Our Case Studies
How Medical Annotation Improved Efficiency Of X-Rays, CT Scans, and MRI Scans
AnnotationBox and the Large Clothing Retailer
“We have completed the first review phase of AnnotatonBox, and analyzed the practical relevancy of how implementing Ai methods improved the overall customer service of retail brand, and we are happy with results.”
Implementation Of AI In The Finance Industry For Risk Management And Fraud Detection
Data Annotation Tools We Use
At Annotation Box our experts are highly skilled at using any annotation tool to label the data you need to train your AI algorithms for the best output.
Polygon Annotation
Polygon annotation helps AI models recognize irregularly shaped and coarse objects in images and videos. Our polygon annotation detects asymmetrical street objects accurately for autonomous cars, driverless cars, drones, and satellite imagery.
Polygon annotation is suitable for detecting objects like logos, signboards, different human poses, and other objects precisely.
Polyline Annotation
Polyline image annotation helps driverless cars with successful artificial intelligence models identify lanes, divergences, directions, and opposite directions for safe and trouble-free driving.
We provide polyline data annotation to help self-driving cars detect lanes on roads, highways, and streets precisely.
Semantic Segmentation
Semantic segmentation takes object detection to the next level by annotating the whole image pixel-by-pixel. Using semantic annotations, AI & machine learning can classify, locate, segment, and detect several objects in the image that belong to a class with better accuracy.
By labeling every pixel of the image, semantic annotation solves the core problem of machine learning with dense object detection.
Sentiment Analysis
Businesses use sentiment analysis to know customers’ opinions, and views and classify them as positive, negative, or neutral.
Annotation Box delivers stunning sentiment analysis to enhance your computer vision, and machine learning strategies with accurately annotated data to achieve the best results.
Natural Language Processing (NLP)
With accurately labeled training data annotation by our expert data annotators, NLP extracts meaning from raw data in text and images to help machine learning and computer vision models comprehend human language.
To understand the purpose, meaning, and keypoint of text data, Natural Language Processing is widely used in smart assistants, search engines, online reviews, etc.
Audio Transcription
Speech recognition is widely used in smart assistants, language translation services, etc. With 95% accuracy, Annotation Box converts your audio files to text for the best results for your AI & ML models.
Audio transcription is widely used to transcribe audio files from court proceedings, interviews, language translations, etc to text form and derive meaningful information.
Bounding Boxes
Bounding box annotation is used to outline cars, humans, and recognize objects in the streets for accurate detection by machine learning algorithms.
Bounding box is the most basic annotation method used in the industry to help autonomous vehicles detect different objects accurately.
Our data annotation experts ensure proper data labeling and image classification to maintain high quality.
3D Cuboid Annotation
3D cuboid annotation helps measure the depth of objects in 2D images to train computer vision models for autonomous vehicles, robotics, etc., which creates a 3D perception of a real-world scenario making objects more perceptible by AI & ML models.
3D cuboid annotation is useful when training AI algorithms to understand the depth of individual objects such as houses, cars, persons, etc.
Industries Using Data Annotation
Artificial Intelligence is being used in almost every industry today, such as Retail, Healthcare, Robotics, Insurance, Agriculture, and so on. But the accuracy of these technologies is determined by the quality of data annotations used in the training process.
Our data annotation experts can label your data with 95% accuracy to make sure your AI strategies achieve the best results.
agriculture
Machine learning strategies are used in Agriculture for crop monitoring, geo sensing, unwanted crop management, etc.
Semantic segmentation helps detect land soil conditions.
healthcare
Using data labeling in healthcare helps detect and treat cancerous cells and other diseases that cannot be seen visually. Training Data also help improve the autonomous surgery of patients.
robotics
Robotics needs data annotation to train robots effectively and efficiently for material handling, assembling, etc increasing productivity yields in the absence of human resources.
security
High volumes of trained quality datasets are used by ML engineers to train the AI & ML models for crowd detection, facial identification, and 24*7 surveillance for a secure environment.
autonomous vehicles
Requires expertly labeled data to train machine learning models for accurate detection of signboards, vehicles, people, and lane markers to promote safe and trouble-free driving.
retail & e-commerce
AI in Retail & E-commerce requires data annotation and labeling to train ML models for smart shopping, brand preferences, business reputation management, customer experience, etc.
insurance
Data annotation is used to train large datasets to aid risk assessment with extreme accuracy, improve end-user experience, faster response time and save financial and human resources.
drone & Satellite imagery
Drone & Satellite imagery uses data annotation to train deep learning models to get deeper insights into the view captured by drones and satellites for urban management and smart cities.
agriculture
Machine learning strategies are used in Agriculture for crop monitoring, geo sensing, unwanted crop management, etc.
Semantic segmentation helps detect land soil conditions.
healthcare
Using data labeling in healthcare helps detect and treat cancerous cells and other diseases that cannot be seen visually. Training Data also help improve the autonomous surgery of patients.
robotics
Robotics needs data annotation to train robots effectively and efficiently for material handling, assembling, etc increasing productivity yields in the absence of human resources.
security
High volumes of trained quality datasets are used by ML engineers to train the AI & ML models for crowd detection, facial identification, and 24*7 surveillance for a secure environment.
autonomous vehicles
Requires expertly labeled data to train machine learning models for accurate detection of signboards, vehicles, people, and lane markers to promote safe and trouble-free driving.
retail & e-commerce
AI in Retail & E-commerce requires data annotation and labeling to train ML models for smart shopping, brand preferences, business reputation management, customer experience, etc.
drone & Satellite imagery
Drone & Satellite imagery uses data annotation to train deep learning models to get deeper insights into the view captured by drones and satellites for urban management and smart cities.
insurance
Data annotation is used to train large datasets to aid risk assessment with extreme accuracy, improve end-user experience, faster response time and save financial and human resources.
How We Work
Get your data annotated in just 5 simple steps.
STEP : 1
Project Assessment
Upon receiving the inquiry we assign experts to understand your project requirements.
After in-depth research by our experts and assessing your requirements, we deploy the best data annotation solution for you.
STEP : 2
Sample Data Labeling
After deploying data annotation solution. We begin our work. The first step is to ask for your samples. Once we receive your samples, we run sample data labeling. We label the samples and send you back for your review.
STEP : 3
Training
Once you're satisfied with our sample. We deploy a training module for the team to impart an in-depth understanding of the project.Our Quality analyst keeps checking for the desired quality output with our annotators.
STEP : 4
Production
Our dedicated project manager will oversee the team and monitor them constantly to ensure the annotators are meeting the desired output quality set initially and completing the project on time. Annotation Box puts accuracy first and foremost.
STEP : 5
Evaluation
We believe in transparency and high-quality data annotation. Through our continuous feedback cycle, we make sure the annotation is done correctly. Our flexible workforce enables us to scale up production at any time.
STEP : 1
Project Assessment
Upon receiving the inquiry we assign experts to understand your project requirements.
After in-depth research by our experts and assessing your requirements, we deploy the best data annotation solution for you.
STEP : 2
Sample Data Labeling
After deploying data annotation solution. We begin our work. The first step is to ask for your samples. Once we receive your samples, we run sample data labeling. We label the samples and send you back for your review.
STEP : 3
Training
Once you’re satisfied with our sample. We deploy a training module for the team to impart an in-depth understanding of the project.Our Quality analyst keeps checking for the desired quality output with our annotators.
STEP : 4
Production
Our dedicated project manager will oversee the team and monitor them constantly to ensure the annotators are meeting the desired output quality set initially and completing the project on time. Annotation Box puts accuracy first and foremost.
STEP : 5
Evaluation
We believe in transparency and high-quality data annotation. Through our continuous feedback cycle, we make sure the annotation is done correctly. Our flexible workforce enables us to scale up production at any time.
Our Beliefs
In the coming years, the need for high-quality data annotation will increase dramatically as the world moves towards more digital solutions. Consequently, the companies will adapt more AI and machine learning-driven models to keep up with the trends and replace human-powered work processes with AI-based algorithms.
The best AI models require accurate data annotation, which is much more challenging than before when it was sufficient to label just a few notches on the face for training, but now with advancements in technology alone lips can have 20 points labeled, and the best results require accurate data annotation.
We provide best-in-class data annotation services to provide high-quality annotated data for your AI & ML algorithms.
Data Security
We are EU-GDPR compliant and SOC 2 Type 1 Organisation. Keeping your Data Safe & Secure is our priority.
skilled human-powered workforce
Our entire business processes are handled by our experts. None of our work is outsourced to freelancers.
scalable solutions
Our ready-to-deploy human-powered workforce can complete projects of any scale and size with fast delivery.
95%+ best-in-class accuracy
At Annotation Box our data annotators specialists annotate your data with 95% accuracy.
Annotation Box – What Sets Us Apart From Others?
We, as a leading provider of human-powered workforce solutions, guarantee to deliver the best in class annotation services to train and develop Machine Learning and Deep Learning models.
We have served our clients with excellence, quality, and high standards over the past five years, covering everything from accuracy to timely delivery to scalable data solutions while maintaining data security and privacy.
1000+
Trained Experts
95%+
Accuracy
50+
Happy Clients
450+
Successful Projects
Technology News Around AI & Machine Learning
We are providing data annotation for machine learning using the advance tools and human powered skills to make each image easily recognizable for machines or computer vision. We can label each data or annotate different types of objects like cars, human, animals or trees etc. using the various modes of annotation as per the client’s needs.
Object Detection in Autonomous Driving
The advent of self-driving technology has sparked a monumental transformation in the automotive industry over recent years. This paradigm shift is centered on object identification, a fundamental component of computer vision that allows autonomous vehicles to perceive...
Sentiment Analysis for Customer Reviews
In an era dominated by the digital landscape, where information flows seamlessly at the tap of a screen, the influence of customer reviews has emerged as a cornerstone in defining the triumphs of businesses. Whether unveiling a groundbreaking product, delivering a...
How AI in Geospatial Annotation Can Make a Difference
Geospatial artificial intelligence integrates satellite and aerial imagery into datasets compatible with AI and machines. AI in Geospatial Annotation creates a real-time dataset that can be used to evaluate and give crucial actionable data to companies. Geospatial...
Trusted By Brands
Successful Projects Across Various Industries
AUTONOMOUS VEHICLE
We have delivered more than 150 successful projects for the training of CV & ML models of ADAS and driverless cars with 95%+ accuracy.
retail & e-commerce
Our highly accurate annotated datasets have helped various companies train their AI & ML models for capturing brand preferences and customer experience.
Robotics
With our high-quality data annotation services, companies have improved their efficiency by training robots for material handling, assembling, etc.
Healthcare
Annotation Box has delivered successfully annotated datasets with 95%+ accuracy for more precise detection and treatment of diseases.
Annotation Services – FAQs
How do you ensure the accuracy of annotations?
At Annotation Box, accuracy is our top priority. Our strict Quality Check measures ensure that the datasets are accurately annotated. Annotation rules and desired quality outputs are defined during the initial training module to maintain high annotation accuracy.
During delivery, our Quality Analysts perform a three-level QC to ensure the desired accuracy is achieved.
What is your pricing model?
Pricing annotations without seeing data would be a little tricky. Pricing depends on the type of data annotation required, the complexity of the data, the volume of data, the timeline, etc.
For the best pricing, please send us a sample dataset and annotation guidelines or schedule a call with us and let us help.
Do you support other data annotation formats, such as COCO, PASCAL, etc...?
Yes, you may receive annotated data in any desired format you need, whether it’s COCO, PASCAL, XML, etc.
Do you have a limit on how many objects can be marked in one image?
There is no limit to the number of objects that can be marked on an image. Our data annotator specialists can label hundreds or even thousands of objects in one single image.
