Image Annotation Services
What Is Image Annotation in Machine Learning?
Image annotation is the process of labeling or tagging digital images to provide context and meaning, and is a crucial step in creating computer vision models. The process involves adding metadata like bounding boxes, segmentation masks, or text labels to given images. This helps highlight specific objects, regions, or characteristics.
The process is crucial for training computer vision models. It helps the AI models learn the ways to identify, classify objects, scenes, and patterns in images. As a result, machines are able to perform tasks like object detection, image classification, and semantic segmentation.
At AnnotationBox, our team of trained annotation experts specializes in creating this high-quality ground truth, ensuring your AI vision systems perform with maximum accuracy.
What Are the Types of Image Annotation Techniques for Computer Vision?
We offer a comprehensive service, ranging from labeling images to handling complex pixel-level segmentation. Our annotators are well-versed in the different image annotation techniques and algorithms to enable machines to see pictures like humans. Here’s a look at the different techniques we use:
Bounding Box Annotation
The technique is very effective for general object detection and localization. We use rectangular boxes to label objects within an image quickly for machine learning algorithms. We ensure your AI and ML models are trained on data that performs in the real world.
Polygon Annotation
Polygon annotation is used to capture the exact shape of any object using multi-point polygons. It is effective for labeling irregular shapes with more precision. Get pixel-precise annotation to make AI models understand the world in detail.
Semantic Segmentation
Semantic segmentation is all about assigning a specific category to every pixel in an image. The technique helps get a comprehensive map of the entire scene. It helps in creating models that understand complex environments and gain insights for next generation vision applications.
3D Cuboid Annotation
The technique is used to annotate objects in three-dimensional space using 3D cuboids. 3D cuboid annotation helps understand an object’s real-world depth and volume. It helps improve spatial awareness in self driving tech, drones and 3D modeling tools.
Polyline Annotation
The polyline annotation technique is used for tracing linear features like lanes, boundaries, and pathways with connected lines, effective for mapping routes and defining parameters. The technique powers navigation systems with reliable training data for real-time decision making.
Keypoint Annotation
The key point annotation technique is used to identify and mark key data points on the image based on the specified categories. It enables AI models understand and interpret complex patterns, such as human pose estimation.
LiDAR Annotation
The LiDAR annotation technique is used to annotate 3D point cloud data from a LiDAR sensor to map environments and track objects with real-world depth accurately. It is used to train and validate ML algorithms, specifically for autonomous vehicles and 3D mapping.
Image Classification
Image classification is about assigning a single, descriptive label to an entire image. The technique is the fastest way to categorize large visual datasets to train fundamental recognition models.
Why Choose AnnotationBox to Outsource Image Annotation Services?
Reasonable Prices
We offer clear and upfront pricing without any hidden fees. Be assured of getting high-quality photos annotation within your budget. Ask us for a free quote!
Trusted Services
We have a team of vetted and trained experts to help annotate images correctly. Further, every result goes through a thorough review before the final delivery.
24/7 Support
Our team is available around the clock to answer your questions and assist you whenever you need help. Connect with us at any time for the necessary assistance.
Dedicated Project Managers
We ensure you have a single point of contact for clear, consistent communication. The dedicated project manager will keep you updated on the project progress.
Safe and Secure Data
We are a GDPR compliant image data annotation service provider and treat your image dataset with the highest level of security. Be assured about the safety and security of data.
All Formats Supported
We deliver your data in any format you need, such as COCO, YOLO, Pascal VOC, and custom JSON, ready to immediately integrate it with your training pipelines.
Fast Turnaround Time
We respect the timeline of every project. Our efficient workflows and robust project management ensure a fast turnaround time for each project.
Unmatched Accuracy
We have a multi-layered review process that combines peer review and senior admin validation to ensure every dataset meets the highest quality standards.
Image Annotation Use Cases
Autonomous Vehicles
We provide the critical ground truth data to train 3D perception models. We have expertise in annotating LiDAR, camera, and sensor fusion data. The process is used to label pedestrians, vehicles, lanes, and traffic signs to ensure safe and reliable autonomous navigation.
Healthcare and Medical AI
Our HIPAA-compliant data annotation services support the next generation of medical diagnostics. We properly label X-rays, MRIs, and pathology slides to help in disease detection and surgical planning. Availing medical image annotation services helps improve healthcare and medical AI.
Retail and Ecommerce
Our data labeling process helps improve the online shopping experience and streamline operations. We provide accurate product categorization, visual search optimization, and inventory management solutions to help increase customer engagement and sales.
Agriculture (AgTech)
We annotate drone and satellite imagery to identify crop types, monitor plant health, and detect diseases, thus helping in higher yields and sustainable farming practices. Get advanced data insights to power the future of precision agriculture.
Geospatial and Satellite Imagery
Our geospatial experts can annotate land cover, infrastructure, and environmental changes. This supports urban planning, disaster response, and resource management. Hire us to transform raw aerial and satellite data into actionable intelligence.
Insurance
Our services include annotating images of vehicle and property damage to help automate damage detection and streamline appraisals. It further helps in faster resolutions and reduced fraud. Hire us to accelerate the claims process and enhance risk management using AI-powered data.
Security and Surveillance
We label the video and image feeds for training AI and ML models to track objects, recognize faces, and detect any anomalies. This helps create safe environments for public and private spaces. Avail our services to improve situational awareness and threat detection.
Logistics and Supply Chain
We offer services to annotate inventory, track packages, and enable robotic automation that helps increase efficiency, reduce errors, and streamline your entire logistics workflow. Our image data labeling services aim to optimize the warehouse and supply chain.
Our Image Annotation Process
01
Consultation and
Scoping
Once you share your requirements, we work closely with you before labeling any image. This is to help:
➤ Define your goals
➤ Establish annotation guidelines
➤ Launch a pilot project
02
Annotation and
Labeling
As soon as the guidelines are approved, we will start our work. Here’s what we do:
➤ Project assigned to experts
➤ Using AI-powered tools to improve speed and consistency
03
Multi-Layered Quality Assurance
We are committed to delivering quality annotations. Every annotation goes through a multi-layered quality review process:
➤ Peer review
➤Admin review
➤ Consensus and validation
04
Secure Delivery and Feedback Integration
The final step is to deliver the training data to you securely and efficiently.
➤ Secure transfer
➤ Format flexibility (COCO, YOLO, Pascal VOC, JSON, etc.)
➤ Iterative feedback
1. Consultation and Scoping
Once you share your requirements, we work closely with you before labeling any image. This is to help:
➤ Define your goals
➤ Establish annotation guidelines
➤ Launch a pilot project
2. Annotation and Labeling
As soon as the guidelines are approved, we will start our work. Here’s what we do:
➤ Project assigned to experts
➤ Using AI-powered tools to improve speed and consistency
3. Multi-Layered Quality Assurance
We are committed to delivering quality annotations. Every annotation goes through a multi-layered quality review process:
➤ Peer review
➤ Admin review
➤ Consensus and validation
4. Secure Delivery and Feedback Integration
The final step is to deliver the training data to you securely and efficiently.
➤ Secure transfer
➤ Format flexibility (COCO, YOLO, Pascal VOC, JSON, etc.)
➤ Iterative feedback
Success Stories
Monitoring Deforestation with Aerial Image Annotation
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We used keypoint annotation to automate vehicle image annotation, pointing out specific areas of damage for accurate and quick assessments.
‘Their keypoint annotation services helped us improve the accuracy of damage assessments and speed up claim resolutions.’
-John P. Mitchell, Claims Manager, Auto Insurance Division
Read the full case study
Know more
AnnotationBox Optimizes Image Annotation for Vision AI
…
AnnotationBox used the Land Cover Classification technique to automate aerial and satellite image annotation. It helped researchers monitor changes in the forest with precision and speed.
‘The precision of the annotations done by AnnotationBox helped us act faster and build data-driven strategies for forest prediction.’
-Sarah T. Nguyen, Director of Conservation Programs
Read the full case study
Know more
AnnotationBox Annotates Damages in Accident Claims
…
We used advanced annotation techniques like semantic segmentation and bounding boxes, and a quality assurance framework to deliver a tailored image annotation solution to Vision AI.
‘Partnering with AnnotationBox has transformed our computer vision models for retail analytics.’
-Sarah Patel, CEO, VisionAI Inc.
Read the full case study
Know more
Frequently Asked Questions
How much does the image annotation service cost?
The pricing depends on the type of task. We have on-demand, short-term, and long-term plans for our customers. You can choose the plan that best suits your needs. Also, you can talk to us directly to share your requirements with one of the best image object annotation service providers and get a price quote based on that.
How do you ensure the quality of your annotations?
We use the best of both worlds to ensure high-quality annotations. Our human-in-the-loop process helps us review each annotation and deliver high-quality and accurate annotations to our customers. We are one of the trusted image annotation companies.
Can you handle large volume annotation projects?
Yes, we have the resources to handle large volume annotation projects. You can connect with us for a consultation and get a free sample before finalizing the order.
What is the purpose of an image annotation?
The primary purpose of the image annotation project is to label or add descriptive information to images to use them for training machine learning models, particularly in creating computer vision models to detect images.
How long is a typical annotation?
The time taken to complete an annotation project depends on the complexity and the specific requirements of the project. Annotations used in computer vision projects are complex, and the number of objects is large. It might take a few days to weeks to complete an annotation project.
How do you manage communication during a project?
We assign dedicated project managers to manage communication during a project. You can directly contact them for an update or discuss changes needed in the project for better output.
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