Search results for LabelAI

ApiScrapy is a scalable web scraping and automation platform that converts any web data into ready-to-use data API. The platform is capable to extract data from websites, process data, automate workflows and integrate ready to consume data into database or deliver data in any desired format. Our customer leverage ApiScrapy for market research, price monitoring, data aggregation, lead generation, brand protection, robotic process automation, business intelligence, and more. Key Benefits: - Converts any web data into ready-to-use data API - AI-Augmented & pre-built automation capabilities - Real-time or schedule data with dashboards - Ready-built database integrations capabilities - Free web scrapers at scale - Outcome based pricing ApiScrapy is a part of AIMLEAP - a global technology consulting and service provider offering Digital IT, AI-augmented Data Solutions, Automation, and Research & Analytics Services. Started in 2012 and working with fast-growing companies in the USA, Europe, New Zealand, Australia, Canada; and more. - An ISO 9001:2015 & ISO/IEC 27001:2013 certified - 550+ customers served - 9+ Years of industry experience - 98% Client retention - Global delivery centers in the USA, Canada, India & Australia Email: sales@apiscrapy.com USA: 1-30235 14656 Canada: +1 902 279 1797 India: +91 810 527 1615 Australia: +61 402 576 615

Mabaya is a leading self-service, white-label Sponsored Product Ads platform designed for marketplaces and online retailers. Established in 2014 and headquartered in Tel Aviv, Israel, Mabaya empowers e-commerce platforms to monetize their traffic by enabling sellers and brand partners to promote their products through native advertising. The platform is utilized by over 50,000 sellers and brand partners across more than 30 leading e-commerce sites worldwide. Key Features and Functionality: - Self-Service Campaign Management: Advertisers can independently set budgets, choose bidding strategies , select campaign durations, and manage product and keyword selections. - Automatic Bidding and Keyword Selection: The platform offers automated bidding options targeting specific Advertising Cost of Sales and automatic keyword generation to optimize campaign performance. - Diverse Ad Formats: Supports various ad types, including Sponsored Product Ads, Sponsored Brand Ads, Sponsored Brand Videos, and Offsite Ads, with Display Ads coming soon. - Customization and White-Labeling: Retailers can fully customize the ad layout, placement, targeting options, and campaign management console to align with their brand identity and operational preferences. - Comprehensive Reporting and Analytics: Provides detailed performance reports, enabling advertisers to monitor and optimize their campaigns effectively. Primary Value and User Solutions: Mabaya addresses the need for e-commerce platforms to generate additional revenue streams by monetizing their site traffic. By offering a self-service advertising platform, it allows sellers and brand partners to increase product visibility and sales through targeted, native ads. This solution benefits all stakeholders: retailers enhance their revenue and seller engagement, advertisers gain a user-friendly tool to boost sales, and shoppers receive relevant product recommendations, enhancing their overall shopping experience.

Clickworkers are independent contractors who provide these services using their own computing equipment and schedule. They use a standard web browser to complete tasks on a piece rate basis.

Powerful data science platform for data version control, experiment tracking, and collaboration using Git

NutraSoft is a comprehensive, cloud-based Enterprise Resource Planning platform tailored specifically for small to mid-sized food and beverage manufacturers. It integrates various operational aspects, including production management, inventory control, traceability, and compliance, into a unified system. Designed by professionals with firsthand experience in food manufacturing, NutraSoft aims to streamline processes, ensure regulatory adherence, and support business growth. Key Features and Functionality: - End-to-End Traceability: Track every ingredient and product batch from supplier to shelf, ensuring complete visibility and compliance with food safety standards. - Smart Inventory Management: Monitor real-time stock levels, manage expiry dates, and reduce waste through automated alerts and efficient stock rotation. - Nutrition Analysis and Labeling: Generate FDA and CFIA-compliant nutrition labels using integrated USDA and Health Canada databases, facilitating accurate and professional labeling. - Production Planning: Optimize production schedules by considering yield and resource requirements, minimizing waste, and enhancing operational efficiency. - Quality Control and Compliance: Implement food safety measures, manage critical control points, and maintain audit-ready documentation to meet HACCP, SQF, GMP, and FSMA requirements. - Purchasing and Sales Management: Utilize predictive purchasing to maintain optimal inventory levels and integrate with e-commerce platforms like Shopify for streamlined sales processes. Primary Value and User Solutions: NutraSoft addresses the unique challenges faced by small food and beverage manufacturers by providing an affordable, feature-rich, and integrated software solution. It simplifies complex processes such as traceability, inventory management, and compliance, allowing businesses to focus on growth and product quality. By automating critical operations and offering real-time insights, NutraSoft helps reduce waste, ensure regulatory compliance, and improve overall operational efficiency. Its user-friendly interface and cloud-based accessibility make it an ideal choice for manufacturers seeking to enhance their processes without the complexity or cost of enterprise-level systems.

Innotescus is a collaborative video and image annotation platform designed to streamline the development of computer vision models. It offers an intuitive workspace for annotating images and videos, comprehensive analytics, and robust collaboration tools, enabling teams to produce high-quality training datasets efficiently. By integrating smart annotation features and data visualization tools, Innotescus helps identify data biases early, improve annotation accuracy, and accelerate the deployment of reliable, unbiased AI models. Key Features and Functionality: - Image Annotation: Supports a range of tasks from basic image classification to precise pixel-by-pixel segmentations. - Video Annotation: Combines pixel-perfect semantic segmentation with AI-assisted tools, allowing thousands of video frames to be annotated efficiently with minimal manual input. - Assisted Annotation: Enhances annotation speed and accuracy through AI-driven tools that streamline manual efforts. - Data Analytics: Provides insights into dataset characteristics and annotations, helping identify class imbalances and guiding effective dataset augmentation strategies. - Annotation Operations: Offers collaboration tools for team management, communication, annotation review, and automated consensus, along with metrics to assess annotation quality and efficiency. Primary Value and Problem Solved: Innotescus addresses the challenges of preparing and analyzing complex datasets for machine learning by providing a user-friendly platform that simplifies the annotation process. Its advanced automation and intuitive interface reduce manual efforts, improve data quality, and expedite the deployment of high-performance computer vision models. By identifying data biases early and enhancing annotation accuracy, Innotescus ensures that AI models are trained on reliable and unbiased datasets, leading to more accurate and trustworthy outcomes.

LabelCalc is an online nutrition analysis software designed for food manufacturers.

LabelOps is a fast-growing and No.1 data labeling company in India. With artificial intelligence trending, all its associated services also remain a significant topic of discussion. Among them, data labeling possesses paramount importance and we provide these services at the finest quality. We label images, videos, audio clips and texts to process quality training data for AI models under various use-cases. Since 2020, we have been progressively working to meet the rising demands in image annotation and other data labeling services. We enable solutions for the most reasonable hourly rate in the market.

SolidShip is a multi-carrier shipping system for verification, package distribution, and automatic labeling.

M47 AI is a powerful AI Data Training platform for Natural Language Processing projects. It is designed to simplify, speed up and consolidate the dataset lifecycle for Machine Learning and NLP based applications. Create the Training Data for your NLP model in the cloud and easily internationalize your ML language model for multiple countries and use cases. Use the cloud platform with your own team or use our international team of NLP engineers and professional annotators covering more than 40 languages. With M47 AI, you can: - Create, manage and upload datasets and perform ML-driven quality assurance checks - Annotate text, audios, documents & images to create Training Data for more than 20 different customized business cases - Request on demand Data and Model Training services in more than 40 languages - Use state-of-the-art AI models to detect and clean ML bias - Use our model hub to connect to Hugging Face and test and run the latest ML models or import your own. - Monitor metrics & performance on every step in the training process - Manage internal and external teams, track progress and consolidate dataset generation efforts - Custom build APIs to easily integrate with your existing data pipeline and MLOps Try out now for free our Ai Data Platform.

Alibaba Cloud's Machine Learning Platform for AI (PAI is a comprehensive, enterprise-level solution designed to streamline the development and deployment of machine learning and deep learning models. It offers an intuitive, user-friendly interface that simplifies complex AI processes, enabling businesses to harness the power of artificial intelligence without requiring extensive technical expertise. PAI provides a suite of tools that cover the entire AI lifecycle, from data preparation and model building to training and deployment, facilitating seamless integration of AI capabilities into various business operations. Key Features and Functionality: - Data Preparation with PAI-iTAG: Supports intelligent data labeling for various data types, including images, text, video, and audio, with customizable templates and fully managed labeling services. - Model Development Tools: - PAI-Designer: Offers a drag-and-drop interface for designing machine learning workflows, supporting both CPU and GPU resources for high-throughput, low-latency model deployment. - PAI-DSW (Data Science Workshop: Provides an integrated development environment tailored for algorithm developers, supporting popular frameworks like TensorFlow, PyTorch, and MXNet. - Model Training and Deployment: - PAI-DLC (Deep Learning Containers: Offers pre-configured Docker images to simplify the deployment of deep learning models. - PAI-EAS (Elastic Algorithm Service: Enables scalable and flexible deployment of machine learning models in a serverless environment, reducing the complexity of managing AI workloads. - Extensive Algorithm Library: Includes over 140 built-in optimization algorithms covering scenarios such as regression, classification, clustering, text analysis, finance, and time series forecasting. Primary Value and Problem Solving: PAI addresses the challenges businesses face in adopting AI by providing an accessible, cost-effective, and high-performance platform that reduces the technical barriers associated with machine learning. By offering a comprehensive suite of tools that cover the entire AI development lifecycle, PAI enables organizations to quickly build, train, and deploy models tailored to their specific needs. This accelerates the integration of AI into business processes, leading to improved decision-making, enhanced operational efficiency, and the ability to leverage data-driven insights for competitive advantage.

SentiSight.ai is a web-based platform that can be used for image labeling and for developing AI-based image recognition applications. It has two major goals: the first is to make the image annotation task as convenient and efficient as possible, even for large projects with many people working on image labeling, and the second is to provide a smooth and user-friendly interface for training and deploying deep neural network models.

An application for managing pharmaceutical product labeling — including core data sheet management, local market adaptation, artwork coordination, and change impact analysis.

The Alternative to the Big AI Data Platforms: OpenTrain AI is a talent marketplace to find, hire, & pay expert AI data labelers directly, for any data labeling software. Bypass the large markups charged by data labeling platforms & save 60% or more. You select & control of your data labeling tools while leveraging OpenTrain AI's network to find and pay the specialized talent you need. Post your AI data project today & start saving.

Zuru AI is an AI assisted Data annotation startup that helps AI/ML teams prepare quality training data at scale, across any data type, language or business vertical. Zuru's on-demand Data Science teams also assist businesses develop their own ML models for specific use cases from NLU to Computer Vision models. Apart from MLOps, Zuru also specializes in Managed Services for Software Testing & DevOps.

Gardenware has supplied weather-resistant tags and labels made specifically to meet the demands of the nursery industry. Our labeling program makes it easy to produce consistent and informative signs, tags and labels.

Language Video Labeling is a specialized service designed to facilitate the annotation of video content for machine learning applications. It enables users to efficiently classify videos and label video frames, streamlining the creation of high-quality training datasets. Key Features and Functionality: - Video Classification: Allows users to assign predefined labels to entire video clips, aiding in tasks such as categorizing content by genre or subject matter. - Video Frame Object Detection: Enables the identification and localization of objects within individual video frames using bounding boxes, polylines, polygons, or keypoints. - Video Frame Object Tracking: Facilitates the tracking of objects across multiple frames, capturing their movement and interactions over time. - Automated Frame Extraction: Supports the extraction of frames from video files, simplifying the preparation of data for labeling tasks. - Integration with Amazon SageMaker Ground Truth: Provides a user-friendly interface and tools for managing labeling jobs, including worker instructions and task templates. Primary Value and Problem Solved: Language Video Labeling addresses the challenge of creating accurately labeled video datasets, which are essential for training machine learning models in applications like autonomous driving, sports analytics, healthcare diagnostics, and manufacturing. By offering a comprehensive suite of labeling tools and workflows, it reduces the time and effort required to annotate video data, thereby accelerating the development and deployment of machine learning solutions.