awesome-repositories.com
Blog
awesome-repositories.com

Entdecke die besten Open-Source-Repositories mit KI-gestützter Suche.

EntdeckenKuratierte SuchenOpen-Source-AlternativenSelf-hosted SoftwareBlogSitemap
ProjektÜber unsRanking-MethodikPresseMCP-Server
RechtlichesDatenschutzAGB
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 Repos

Awesome GitHub RepositoriesVisual Data Extractors

Tools for converting raw visual information from images and video into structured data formats.

Distinct from Structured Data Extraction: Distinct from Structured Data Extraction: focuses specifically on extracting data from visual/image sources rather than text-based documents.

Explore 2 awesome GitHub repositories matching data & databases · Visual Data Extractors. Refine with filters or upvote what's useful.

Awesome Visual Data Extractors GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • itseez/opencvAvatar von Itseez

    Itseez/opencv

    89,221Auf GitHub ansehen↗

    OpenCV is an open-source computer vision library and visual analysis toolkit. It provides a framework for processing static images and dynamic video frames to analyze visual data and extract information using deep learning. The project functions as a real-time image processing framework, enabling the execution of vision algorithms on live video streams for immediate analysis and data processing. The toolkit covers a broad range of capabilities including image pattern recognition, real-time video analysis, and visual data extraction. It also supports automated visual inspection for detecting

    Converts raw visual information from images and video into structured data for automated decision making.

    C++
    Auf GitHub ansehen↗89,221
  • landing-ai/vision-agentAvatar von landing-ai

    landing-ai/vision-agent

    5,293Auf GitHub ansehen↗

    Vision-agent is an AI system and visual data extraction framework that translates natural language prompts into runnable Python scripts for analyzing images and video. It functions as a multi-model vision orchestrator, using large language models to plan and generate executable code for tasks such as object detection, counting, and video tracking. The system employs a plan-and-execute cycle that iteratively generates and tests code, using an error-correction loop to refine the implementation until a solution is validated. It is configuration-driven, allowing the underlying language model back

    Provides a pipeline for converting images and video into structured data using a multi-model vision orchestrator.

    Python
    Auf GitHub ansehen↗5,293
  1. Home
  2. Data & Databases
  3. Structured Data Extraction
  4. Visual Data Extractors