Semantic Segmentation Services
Computer vision applications are increasing daily, but the problem of accurately identifying different objects in dense environment persist. With semantic segmentation services, each pixel in an image is labelled and assigned a class to allow fine-grained, pixel-level understanding by AI models, which solves the main computer vision problem.
What Is Semantic Segmentation?
Semantic segmentation is an image annotation technique that involves carefully plotting along the edges of the object of interest to capture all the pixels and then assigning each captured pixel a predefined object class. Multiple instances of objects of the same class are visualized as the same entity with their pixels assigned the same class. The technique provides more details than other image annotation techniques and makes it easy for machine learning and computer vision models to understand an image.
Semantic Segmentation Computer Vision Models
Semantic segmentation plays a crucial role in training computer vision models. Each pixel in an object is assigned to a specific predefined object class, making it easy for computer vision-based AI models to distinguish between different objects. Pixel-level annotation adds a level of detail not possible with other annotation techniques allowing ML and computer vision models to learn to identify multiple objects in an image with dense prediction.
Waste Management
Semantic segmentation finds use in training ML and AI models to help manage waste in the recycling factories. Computer vision AI models are trained to identify and classify different types of garbage. Once fully trained, these models are used to carry out waste sorting in recycling plants and determine the quantity of waste in each category.
Security
Security cameras are increasingly used by law enforcement to provide vital real-time information. Data obtained from the security cameras is annotated and used to train computer vision-based AI models to identify different objects, including arms such as guns. The trained AI models can then be fielded to identify crimes in real time in security surveillance feeds and alert authorities.
Your Go-To Solution For Semantic Segmentation Services
Our video and image semantic segmentation services are among the best in the industry. Our team of experts boasts over 5+ years of delivering high-quality semantic segmentation annotations and creating highly reliable and accurate training datasets. Give us your raw data, and allow our team of experts at Annotation Box to help you realize your project objectives.
Global Presence
Our team of experts at Annotation Box is spread worldwide, allowing us to be dynamic and respond to client needs effectively. Our offices in the US and India allow us to serve our clients seamlessly regardless of their location.
Industry-specific solutions
At Annotation Box, we provide top-notch semantic segmentation services that suit the needs of your project. Our expert annotators will work on your raw image or video data from any industry and deliver high-quality training datasets that fit your project’s requirements.
95% Accuracy
Our annotation experts have experience with different labeling tools. They will create huge semantic segmentation data sets, either video or image, for your project with a guaranteed 95% accuracy.
Why Choose Us?
At Annotation Box, we maintain the highest regard for clients’ goals and dreams in any project. We strive to deliver high-quality annotation services, offering technical help where necessary and providing a conducive team environment to achieve the project objectives.
1000+
Trained Experts
95%+
Accuracy
50+
Happy Clients
450+
Successful Projects
Learn How We Can Help You Train Your AI & ML Models With Our Professional Semantic Segmentation Services
At Annotation Box, our semantic segmentation annotation service will create high-quality training data sets for any of your projects. Our experienced global team of experts will deliver well-labelled semantic segmentation datasets that guarantee the success of your project within budget and schedule. With our high-quality annotated semantic segmentation datasets, your computer-vision based AI-model for security or waste management will work accurately as desired. Be it Semantic Segmentation or Bounding Box Annotation services, we offer 95% accuracy. Get in touch with us to learn how our services can help speed up the process of training and deploying your AI and ML model.
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
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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.