Data Annotation Services & Data Labeling Services 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.
What Is Data Annotation?
Data annotation is the process of labeling or annotating data to make it identifiable and usable by machine learning models. Data annotation quality and accuracy directly impact AI models’ reliability. In layman’s terms, data annotation refers to adding relevant and specific information to data sets, which is then fed to the machine learning (ML) algorithms so that they can understand and process them, improving their performance, accuracy, and efficiency.
For instance, a business can save manual labor costs and increase inventory management efficiency by using image recognition technology to automatically identify objects in photographs.
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 industry’s most highly skilled human-in-the-loop workforce solutions providers, we produce high-quality labeled data for your machine-learning models with the best data annotation tools.
We’re class above the competition for providing top-of-the-line image & video annotation, text annotation, content moderation, text classification, Natural language processing (NLP) & audio annotation.
Our 6+ years of experience in data labeling services allows us to meet any scale of your data annotation requirements with precision and confidentiality.
Image Annotation
In image annotation, we carefully annotate and tag photos to improve comprehension and search capabilities, making your visual data easily obtainable and useful. We assist in object bounding boxes, polygons, characteristics, key points, and semantic segmentation masks.
Video Annotation
Our professional video annotations provide clarity to videos, facilitating more accurate analysis, better search engine optimization, and a better understanding of intricate visual content. Activity recognition, event annotation, temporal segmentation, and object tracking are done by our video annotators.
Text Annotation
By adding annotations to text data, we enable more in-depth analysis, semantic comprehension, and focused information extraction for a range of applications. Text annotation services include document classification, part-of-speech tagging, sentiment analysis, and named entity recognition.
Audio Annotation
By carefully categorizing audio data, we enable accurate analysis, improved searchability, and useful insights for a range of audio-based applications. Audio annotation service includes sound event detection, emotion recognition, speaker diarization, and speech transcription.
Content Moderation
Our content moderation solutions protect your platform by analyzing sentiments, explicit content detection, spam filtering, and offensive content detection, making sure that it complies with regulations, reducing dangers, and preserving a secure and enjoyable user experience.
Product Categorization
By guaranteeing precise product positioning and discoverability, we effectively categorize products to maximize search relevancy, streamline browsing experiences, and increase sales. Product matching, attribute tagging, product categorization, and brand recognition are all included.
Geospatial Annotation
We precisely annotate geographic data to improve spatial comprehension, make precise mapping easier, and promote effective decision-making for location-based applications. Our Geospatial Annotation service includes boundary delineation, route annotation, land use classification, and point of interest labeling.
Medical Annotation
We provide medical data annotation to leading pharmaceutical companies, device manufacturers, etc., to ensure accuracy in surgical, diagnostic, and medical operations. Create high-quality training data using our medical image data labeling to facilitate accurate disease detection and cutting-edge medical solutions.
Data Collection Services
Utilizing cutting-edge technologies and human knowledge, we provide all-inclusive data-collecting solutions that are customized to meet your unique requirements and acquire high-quality data at scale. Data Collection service includes data augmentation, data labeling, survey development, and web scraping.
Data De-Identification Services
Our meticulous data de-identification service protects confidential data, guaranteeing adherence to data protection laws and maintaining the usefulness and integrity of the data. It includes redaction of personally identifiable information, anonymization, data masking, and changes that protect privacy.
Generative AI Data Solutions
By using Generative AI data solutions, we can curate data to enhance the project’s foundation, making it easier to train and test AI models while maintaining privacy and minimizing the need for sensitive or rare data sources. Our team develops a tailored solution that meets your specific needs, using data curation to strengthen the project’s foundation.
Our Case Studies
How Medical Annotation Improved Efficiency Of X-Rays, CT Scans, and MRI Scans
“We have completed the first phase of the review of “AnnotationBox,” to analyze the quality of the instrument annotation project, and we are delighted with the perfect accuracy level.”
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 the retail brand, and we are happy with the 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 precisely detecting objects like logos, signboards, different human poses, and other objects.
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 precisely detect lanes on roads, highways, and streets.
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 our expert data annotators’ accurately labeled training data annotation, 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 key points 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.
The 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 proper when training AI algorithms to understand the depth of individual objects such as houses, cars, persons, etc.
Industries Using Data Annotation Services
Crops can be monitored by drones and kept safe, while facial recognition is improving smartphone security every day, and autonomous vehicles and self-driverless vehicles are futuristic concepts, all thanks to machine learning and deep learning models that enable computers to train and understand the visual world as people do.
Artificial Intelligence is being used in almost every industry today, such as Retail, Healthcare, Robotics, Insurance, Agriculture, and so on. However, 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 ensure 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.
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.
Healthcare
Using data labeling in healthcare helps detect and treat cancerous cells and other diseases that cannot be seen visually. Training Data also helps improve the autonomous surgery of patients.
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
Robotics
Robotics needs data annotation to train robots effectively and efficiently for material handling, assembling, etc, increasing productivity yields without human resources.
Insurance
Data annotation trains large datasets to aid risk assessment with extreme accuracy, improve end-user experience, faster response time, and save financial and 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.
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.
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 Our Data Annotation Services Apart?
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.
Future of E-commerce Annotation on Your Online Store: Trends to Watch Data Annotation
The future of e-commerce annotation services is exceptionally bright, given the global growth and dependency on online shopping. Data annotation is the process of labeling data for training machines and computer visions. Annotated data helps develop AI models to...
Importance of Medical Annotation In Enhancing Healthcare Data Management
Healthcare professionals are encouraging the use of artificial intelligence, AI in medical annotation to improve the efficiency and accuracy of medical data analysis. But how exactly is medical annotation helping the healthcare system? In this blog, we will discuss...
Overcoming Challenges In Reinforcement Learning From Human Feedback (RLHF) In LLMs
Artificial intelligence is a rapidly growing field. Reinforcement learning (RL) is one of the most powerful paradigms for training intelligent agents to make decisions in different environments. It can be best viewed in large, high-end language models like ChatGPT. ...
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.
Data 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.
