25% of Fortune 50 companies trust Sama to help them deliver industry-leading ML models
Sama provides the technical expertise and industry knowledge to deliver high–quality image tagging and annotation services at scale. Our proprietary algorithms and Humans-in-the-Loop approach combine to offer unmatched accuracy.
We guarantee a 95% acceptance rate – in writing and support a monthly annotation volume up of up to:
Sama delivers best-in-class video annotation services for the most complex and demanding machine learning models.
Detect and define the location of your target objects. Our video annotation experts use bounding boxes to accurately segment videos used for a variety of applications including autonomous driving, food system optimization, and more. Bounding boxes are best used for object tracking and object detection.
Localize and detect complex objects with precision.
Polygons are used as part of our video annotation solutions to improve the accuracy of object detection algorithms. They are best used for applications when a more precise definition of an object’s boundaries are needed such as vehicle detection, crop identification and more.
Easily detect and annotate pose variations.
Keypoints are a video annotation technique that our team uses to capture the location and orientation of landmarks within a video. Keypoints are best for motion tracking, facial landmark detection and hand gesture recognition as they track the movement of individual objects.
Annotate straight or curved objects with precision.
Lines and arrows are used in 2D video annotation to highlight important features in a video for object tracking or scene understanding. This is useful for understanding things like lane marking and traffic patterns or identifying buildings in a city.
Detect the depth and height of your object of interest for vehicle and pedestrian identification, robotic movement, and interior furniture placement.
Get started quickly by easily integrating our image annotation platform with APIs, CLIs and webhooks that plug directly into your environment. The Sama API enables you to programmatically query the status of projects, post new tasks to be done, receive results automatically and more.
Our solutions provide a wide range of annotations including bounding boxes, polygons, keypoints & points, segmentations, lines and arrows, and cuboids.
Sama achieves 300+% productivity gains with our ML-assisted models, allowing us to achieve high-quality at scale. Our advanced image annotation solutions include ML-assisted annotation, crosshair tool, visual feedback on label selection, logically grouped tasks, keyboard shortcuts, and more.
Get results tailored to your exact requirements with custom classes, multiple attributes per instance, and hierarchical relationships.
Categorize scene level attributes with ease for indicating weather conditions, environment type, and activity identification.
Sama’s image annotation experts improve ML model performance by delivering annotations with unmatched accuracy and speed.
Sama experts deploy polyline annotation to produce training data that instruct machine learning models to recognize specific space parameters in which they operate.
Annotators connect the dots across the human body to establish a relationship between points, like from shoulder to elbow to wrist. This helps models recognize human postures and movements, which is of particular value to AR/VR applications.
Our team segments images into individual pixels so that every single pixel in an image is categorized into a class. Because of the extremely high level of detail captured by scene segmentation, it is of most value to high-risk and high-value use cases.
Instance segmentation is an advanced image annotation technique. A combination of object detection and semantic segmentation, objects are classified by more than one category, while also identified as unique objects. The layering of more fine-grained details improves object recognition.
Categorization provides environmental or other context for specific scenes in order to train models to identify and classify images.
Sama’s video annotation projects start with tailored consultations, assessing tagging needs via knowledgeable solutions engineers. After evaluating alternatives, projects launch on Sama’s cutting-edge video annotation platform.
For our video annotation services, we employ an integrated calibration process to maximize efficiency and value. In the initial session, we establish clear instructions, address edge cases, and align on key metrics. Subsequent collaborative meetings with a project manager, solutions engineer, and QA agent, whether weekly or monthly, ensure quality scaling as you utilize our services.
Each project is assigned to a dedicated team at Sama, consisting of internal experts with deep industry knowledge – avoiding consultants, contractors, or crowdsourcing. These teams undergo project-specific training, ensuring their effectiveness from the outset. This methodology extends to our video annotation services, where specialized training empowers our teams to excel in handling video training data right from the start.
Sama continually enhances its video annotation solutions through iterative feedback, with a focus on shaping and refining annotations using a video annotation tool. We utilize level feedback, percentage of data set review, and automated scoring, bolstered by real-time analytics that offer immediate actionable insights. Should data accuracy not meet client expectations, we provide complimentary rework services for the project.
Sama’s video annotation services offer flexible and customizable delivery formats for key metric reports and evaluations within its image annotation service. This is complemented by robust quality control measures to reduce inaccuracies swiftly, ensuring the rapid deployment of ML models.
First batch client acceptance rate across 10B points per month
Get models to market 3x faster by eliminating delays, missed deadlines and excessive rework
Lives impacted to date thanks to our purpose-driven business model
Our comprehensive data labeling services begin with a team of dedicated data annotation experts with deep domain knowledge of the AV and ADA industry. Image annotation is crucial to their models’ success and safe operation, which includes labeling lanes, dividers, traffic directions like lights and signs, objects, and in-vehicle safety features.
Image annotation for retail facilitates product content labeling to enhance search relevance and improve the shopping experience for customers. Inventory management, security, and quality control all benefit from image annotation services, which leads to a better bottom line.
AgTech image annotation focuses on labeling crops, weeds and pests to monitor the growth and health of plants, apply pesticides more efficiently and detect diseases or abnormalities that impact yield.
Image annotation services help with production line and warehouse automation, and improve interior security with object identification and threat detection.
Sama delivers not only accurate video annotation, but insights and recommendations via our vertically integrated platform combined with human-in-the-loop experts, all while embracing an ethical AI approach. This is why companies come to us when other video annotation solutions fail.
No matter how complex your models, we consistently deliver a 99% client acceptance rate as you scale, even with high ambiguity images and edge cases.
Sama has over 15 years of experience and our annotators have an average tenure of 2+ years. Vertically segmented teams provide expertise into industry nuances.
As the first AI certified B Corp, Sama has provided economic opportunities for over 65,000 employees from underserved communities.
ISO certified delivery centers, a biometric secured platform and our in-house workforce help protect your data from unauthorized access and data corruption from ingestion to delivery.
Learn more about Sama's work with Data Curation
Image annotation refers to the process of assigning labels to images which can be used to train ML models for a variety of different applications. It plays a pivotal role in tasks including image segmentation, image classification, and object detection. The complexity of image annotation services ranges from labeling individual pixels in an image to assigning a single label to the entire image. When an image is annotated with high precision, accurate data sets are generated that significantly boost the performance of machine learning algorithms.
Image annotation offers a huge potential for businesses to enhance their operational efficiency, lowering costs with highly accurate training image data for their ML models. It aligns with computer vision and elevates customer experience with smarter decision-making.
An image annotation tool is a software application that helps to label or annotate images. These tools assist in object detection, image classification, and semantic segmentation to generate labeled datasets for machine learning algorithms to identify patterns and objects in images.
Image annotation refers to adding metadata or description information to an image, which includes identifying certain objects in the image and linking them to appropriate labels. Annotations give context to images.Image labeling is a broader concept that involves assigning labels to entire images, or individual objects within them.
Image annotation has many applications in a variety of industries, like AVs, AgTech, manufacturing and robotics, and retail. Image annotation solutions help identify images down to specific pixels, orient an image within a specific context, detect objects, and many other image labeling techniques.
An image annotation vendor brings extensive technical expertise to image labeling, as well as specific industry knowledge. By partnering with an annotation service, companies quickly and cost-effectively launch extremely accurate models. An image labeling annotation service provides quality atscale, at a lower total cost of ownership. A collaborative partnership with an image annotation vendor offers companies a secure environment in which to perfect their models before launch.