Secure high-accuracy, human-annotated data at pixel perfect level. BUNCH allocates teams of experienced image segmentation annotators to accurately label and classify training data for your ML models.
Our in-house labelers are trained BUNCH allocates highly trained annotators to handle millions of images to be used for computer vision and deep learning. Through strict QA implementation and double-pass annotation techniques, we ensure in-depth labeling for your image dataset from a predefined set of classes.
Image segmentation, or semantic segmentation, is an image annotation technique used to classify each pixel in an image. Unlike bounding boxes that can overlap each other, image segmentation is used to label each pixel in an image that represents an object, body, or any other and segment them to a single class.
High-accuracy image segmentation is crucial for the overall performance of AI-based models. These models demand a large amount of high-accuracy training data to understand and visualize objects perfectly.
Our QA audit processes are continuously refined, and we select the most suitable labelers for each specific image type. We achieve pixel-perfect image segmentation using proven strategies that ensure high-impact data quality while maintaining optimal efficiency. Our dedicated Project Managers have extensive experience with ML models, and a shared commitment to data quality drives our organization. Trust BUNCH to deliver consistent, high-quality datasets for training robust and reliable image segmentation ML models.
We offer flexible and scalable semantic segmentation services tailored to your project size. For smaller projects with thousands of images, we assign compact teams of annotators, while large-scale projects spanning several months involve dozens of labelers. We maintain a vast pool of skilled annotators to ensure rapid response and scalability, capable of mobilizing hundreds when needed.
We provide dedicated full-time teams for numerous AI clients with a specified number of FTEs (Full-Time Employees) to address continuous data needs. This cost-efficient approach generates significant volumes of training data for long-term semantic segmentation ML models. We also employ part-time teams to handle seasonal surges. Pricing is determined based on output or the number of FTEs allocated to the project.
Our extensive experience with diverse use cases across high-growth industries allows us to deliver top-quality semantic segmentation outcomes. Here are some of the numerous applications where semantic image segmentation quality data proves invaluable.
Semantic Segmentation in Medical Imaging
Owing to the intricacy of medical images, AI-driven diagnostic models employ semantic segmentation to examine and partition organs, brain regions, cells, and tumors in MRI and CT scans. This assists doctors in accurately diagnosing and treating affected areas.
Semantic Segmentation in Facial Recognition
In addition to keypoint or landmark annotation, image segmentation enhances ML models like self-driving cars and robots for facial recognition, motion estimation, and movement prediction. Semantic segmentation allows these machines to visualize and track moving objects accurately.
Semantic Segmentation in Aerial Imagery
Semantic segmentation trains drones and satellites to identify objects on the ground from an aerial viewpoint. Satellites necessitate extensive aerial coverage to process geographic areas and analyze objects of interest, which can also be utilized for high-precision geo-mapping.
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Get a custom plan with elastic pricing models that fit your annotation project volume, quality and urgency
Our elastic workforce allows you to scale up from thousands to millions of images in hours
Continuous training and rigorous QA complemented by double-pass techniques secure the highest accuracy
Our fully managed in-house annotation teams enable pixel-perfect accuracy and full compliance with your guidelines
We will annotate a sample of your images and come back to you with proposed productivity estimates and quality thresholds
Our exposure to different dashboards enables us to handle high-volume and multi-user annotation at exceptional efficiency standards
We permanently delete your datasets upon completion of milestones. Our in-house team is under strict NDA to protect your business confidentiality.
We meet international compliance standards for data handling and processing, security, confidentiality, and privacy
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We set full-time teams and work on one-time projects of all sizes.