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Get premium support from world-class experts to implement computer vision the right way, by extracting real-time data from videos & images to accelerate your ML journey
Empowering teams to build world-leading AI products.
Computer vision is an area of Artificial Intelligence technologies that train machines to see, understand, and interpret the visual world, the way humans do. It helps in developing the machine learning models to accurately understand, identify, and classify objects in an image or a video – at a much larger scale & speed.
The recent developments in Computer Vision technologies have overcome some of the limitations that humans face in accurately detecting and labeling objects from the vast amounts of data generated today from disparate systems. The computer effectively solves these 3 tasks:
Training ML models to interpret & comprehend the visual world requires large volumes of accurately labeled image and video data.
From bounding boxes, semantic segmentation, polygons, polylines to keypoint annotation we can help you with any image/video annotation technique.
We also offer a skilled resource that becomes an extension of your team to support you with your data annotation tasks, through tools that you prefer while maintaining the desired consistency and quality. Our skilled and experienced workforce apply the best practices learned by labeling millions of images & videos to deliver world-class data labeling for computer vision solutions.
From image/video collection to annotation object recognition and tracking to semantic segmentation and 3-D point cloud annotations, we bring a greater understanding of the visual world with detailed, accurately labeled images and videos to improve the performance of your computer vision models.
450k images of driver faces with car setup in different poses and variations covering 20,000 unique participants from 10+ ethnicities
80k+ images of landmarks from over 40 countries, collected based on custom requirement.
84.5k drone videos of areas like College/School campus, Factory site, Playground, Street, Vegetable Market with GPS details.
55k images in 50+ variations (w.r.t. food type, lighting, indoor vs outdoor, background, camera distance etc.) with annotated images
Train ML models to detect cancer moles in skin images or finding symptoms in MRI scans or patient's x-ray.
Train ML models to identify images of people based on facial features & compare them with a database of facial profiles to detect & tag people.
Annotation of satellite images & UAV photography to prepare datasets for geoprocessing, and annotate 3D point cloud for Geo.AI.
With AR headset, place virtual objects in the real world. It can detect plane surfaces such as walls, tabletops, and floors - a very critical part in establishing depth & dimensions and placing virtual objects in the physical world.
Multiple cameras capture videos from a different angle to identify the boundaries of traffic signals, roads, cars, objects, and pedestrians nearby to train the self-driving cars to auto steer the vehicle and avoid hitting obstacles while driving the passenger safely.
With computer vision in retail, the applications can offer personalized recommendations based on customers buying patterns & speed up business operations like shelf management, payments etc.
As experts in training and managing teams, we ensure projects are delivered within the defined budget.
The team analyzes data from multiple sources & is capable of producing AI-training data efficiently and in volumes across all industries.
The wide gamut of image data provides AI with copious amounts of information needed to train faster.
Our pool of experts who are proficient in image/video annotation and labeling can procure accurate and effectively annotated datasets.
Our team helps you prepare image/video data for training AI engines, saving valuable time & resources.
Our team of collaborators can accommodate additional volume while maintaining the quality of data output.
Today, we are at the dawn of the next-generation mechanism, where our faces are our pass codes. Through the recognition of unique facial features, machines can detect if the person trying to access a device is authorized, match CCTV footage with actual images to track felons & defaulters, reduce crime in retail stores, and more.
Human beings have the innate ability to distinguish and precisely identify objects, people, animals, and places from photographs. However, computers don’t come with the capability to classify images. Yet, they can be trained to interpret visual information using computer vision applications and image recognition technology.
Dedicated and trained teams:
Highest process efficiency is assured with:
The patented platform offers benefits:
Have a computer vision project in mind? Let’s connect
Computer Vision is a branch of AI that trains machines to interpret, analyze, and understand visual data, such as images and videos, similar to how humans see and process the world.
It works by using machine learning (ML) and deep learning models to classify, detect, and recognize objects in images/videos. Models are trained with annotated datasets to identify objects, landmarks, and patterns with precision.
Computer Vision is used in self-driving cars for obstacle detection, healthcare for analyzing medical images, retail for personalized recommendations, facial recognition, geospatial mapping, and augmented reality for placing virtual objects in the physical world.
Yes, Shaip customizes datasets based on your requirements, including specific geographies, demographics, objects, and annotation styles.
Annotation techniques include bounding boxes, polygons, semantic segmentation, 3D cuboids, keypoints, and line annotations, depending on the project’s requirements.
Shaip employs a team of 30,000+ skilled annotators and a 6 Sigma process to ensure accurate, high-quality datasets with rigorous quality checks.
Yes, Shaip’s services are designed to scale for projects of any size while maintaining consistency and quality.
All data is de-identified and complies with global standards such as GDPR and HIPAA, ensuring secure and ethical handling of sensitive information.
Pricing depends on factors like data type, volume, customization, and delivery timelines. Contact us for a personalized quote.
Shaip offers high-quality, customizable datasets, competitive pricing, expert annotators, and scalable solutions, making it a trusted partner for Computer Vision projects.
Delivery timelines depend on project size and complexity but are often designed to meet agreed deadlines without compromising quality.