Data-centric AI building blocks for computer vision applications
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Updated
Oct 24, 2024 - Python
Data-centric AI building blocks for computer vision applications
Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.
Lightweight self-hosted span annotation tool
Bind the Grid control to a data source with Data Annotation attributes.
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
A system for prompted weak supervision. Alfred is a powerful tool that leverages large language models to accelerate data annotation.
Quickly create and label computer vision data to recognize personalized objects
Official GitHub page of the paper publication "Weak-Annotation of HAR Datasets using Vision Foundation Models" presented at UbiComp/ ISWC 2024.
This is a tool to annotate the focus plane of z-stacked images.
R package for dynamically managing, annotating, and retrieving variable labels in data frames. It provides functions to efficiently set and extract labels based on patterns, column selections, or custom rules, enhancing data cleaning and analysis workflows.
Supplemental code: Large Language Models for Integrating Social Determinant of Health Data: A Case Study on Heart Failure 30-Day Readmission Prediction
An open source platform to annotate data for Large language models - at scale
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
NPL Dialog Annotation Tool for entities and intentions
A quick-start project that helps to use data annotations to customize autogenerated columns in the Syncfusion ASP.NET Core DataGrid. This project also contains code to enable data annotation attributes like display, display format, key, and editable.
A list of tools for annotating data, managing annotations, etc.
This streamlines the process of annotating data for machine learning tasks, making it easier and more efficient for teams to create labeled datasets by leveraging Label Studio and Bulk
AnnoTheia is a data annotation toolkit that identifies when a person speaks in a scene and transcribes their speech, also offering flexibility to replace modules for different languages.
`Shyft` is a time-tracking and data-logging utility designed to assist data annotators with managing and monitoring their service records.
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