CASE STUDY

Yeti Project

The YETI Page Classifications is a system developed by Google to automatically classify web pages based on their content. YETI stands for "Your Extraction Tool Indexer," and it is a machine learning-based system that analyzes the structure and content of a webpage to determine its classification.

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Cacus Project

Overview of Cacus is the project where we have to firstly identify and then annotate the Scrap Items. We will annotate only those scrap objects that are in focus. Improper waste management has severe effects on our environment, natural resources and public health.

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Faces Project

A face recognition project involves developing a system that can identify and verify individuals based on their facial features. The project typically involves using image processing techniques to detect faces, extract facial features, and compare them to a database of known faces to determine a match.

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Project Textract

Textract provides a range of annotation options to help identify and extract specific data elements from documents. These annotations can be used to train machine learning models or to configure custom workflows for data extraction.

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Text Overlay Project

A text overlay project involves adding text to an image or video to provide additional context, information, or emphasis. This can be useful for a variety of purposes, such as creating social media graphics, promotional materials, or educational content.

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Hospital Image Annotation Project

Hospital image annotation involves adding labels, descriptions, or other metadata to medical images to provide additional information and improve their usefulness for medical professionals. To perform hospital image annotation, medical professionals and image analysts can use various software tools, such as ImageJ, OsiriX, and DICOM viewer.

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Medical Insurance Claim Key-Value Labeling Project

The Medical Insurance Claim Key-Value Labeling involves labeling key-value pairs in medical insurance claim forms. The goal is to extract important information from the forms, such as the patient's name, date of birth, diagnosis, treatment, and insurance coverage.

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Custom key-value Annotation Project

Custom key-value annotation is the process of defining and using annotations in code to associate key-value pairs with various program elements such as classes, methods, fields, and parameters. Annotations are a form of metadata that can be added to code to provide additional information.

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Invoice KV Annotation Project

Invoice KV annotation is applied to a class representing an invoice and has 47 properties, each corresponding to a specific key-value pair on an invoice. These properties include information about the customer, vendor, payment terms, billing and shipping addresses, line items, and totals. is applied to a class representing an invoice and has 47 properties, each corresponding to a specific key-value pair on an invoice.

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Item Code Annotation Project

Item code annotation typically is the process of assigning a unique identifier or code to a product or item. This code can be used to track the item throughout its lifecycle, from production to distribution and sale. The purpose of item code annotation is to improve inventory management and supply chain efficiency.

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Face Annotation Project

Face annotation is the process of labeling or marking up specific facial features or attributes in an image or video. This can include identifying and highlighting facial landmarks such as the eyes, nose, and mouth, as well as identifying expressions or emotions displayed by the face.

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Portuguese Annotation Project

Portuguese annotation is the process of adding explanatory notes or comments in Portuguese to a text or document, typically for the purpose of providing additional information, clarification, or context. This can be done manually or through the use of automated tools and technologies, and is commonly used in fields such as linguistics, literary analysis, and academic research.

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Table Annotation Project

Table annotation is the process of adding descriptive metadata to a table or spreadsheet, typically for the purpose of facilitating data discovery, sharing, and reuse. This can include information such as the table title, column and row headers, data types, units of measurement, and any relevant notes or comments.

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Video Sourcing/Tooling/Annotation Requirements for Human Perception

Video annotation is the process of adding metadata, such as labels, descriptions, or timestamps, to a video for the purpose of enhancing its content, indexing, and searchability. This can include identifying and labeling objects, people, or events within the video, tracking motion and activity, or providing captions or subtitles for audio content. Video annotation is commonly used in a wide range of applications.

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Content Moderation & Violence

Content Moderation and Violence annotation, Sourcing, and Labelling are critical aspects of ensuring a safe and healthy online environment. With the proliferation of social media and online platforms, there has been a significant increase in violent content being shared online. This type of content can have severe consequences, including inciting violence and causing emotional distress to those who view it.

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Foreign Language Annotation Projects

Foreign Language annotation is the process of analyzing and labeling text in a language that is not the primary language of the annotator or reader. This process is essential in natural language processing (NLP) applications, such as machine translation, sentiment analysis, and text classification, as it involves identifying the language of the text and then analyzing its content.

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