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AKSHAYUBHAT/DeepVideoAnalytics

0
View on GitHub↗
0 stars·0 forks·8 views

DeepVideoAnalytics

Features

  • Computer Vision Libraries - Distributed visual search and analytics platform.
  • Developer Tools - Platform for indexing and extracting information from video and images.
  • Video Recognition - Listed in the “Video Recognition” section of the The Incredible Pytorch awesome list.

Star history

Star history chart for akshayubhat/deepvideoanalyticsStar history chart for akshayubhat/deepvideoanalytics

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with DeepVideoAnalytics

These projects share indexed features with DeepVideoAnalytics. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • heartexlabs/label-studioheartexlabs avatar

    heartexlabs/label-studio

    27,626View on GitHub↗

    Label Studio is a multi-type data labeling tool and data annotation workspace designed to prepare datasets for machine learning training. It functions as a cloud-integrated data pipeline that imports raw data from storage, manages the annotation process, and exports labels into standardized formats. The platform features a machine learning model integration framework that connects to external model servers. This enables model-assisted annotation and active learning, allowing the system to perform pre-labeling and refine predictions based on human feedback. The software provides project manag

    TypeScript
    View on GitHub↗27,626
  • albumentations-team/albumentationsalbumentations-team avatar

    albumentations-team/albumentations

    15,308View on GitHub↗

    Albumentations is a computer vision image augmentation library designed to increase training data diversity for deep learning models. It provides a toolset for applying geometric and color transformations to images and annotations, including a specialized collection of 3D operations for volumetric data used in medical and scientific imaging. The library functions as an image mask and bounding box transformer, automatically updating masks, bounding boxes, and keypoints when images undergo geometric changes. This ensures that spatial alterations remain synchronized across images and their assoc

    Python
    View on GitHub↗15,308
  • 0xax/erlang-bookmarks0xAX avatar

    0xAX/erlang-bookmarks

    1,154View on GitHub↗

    All about erlang programming language powerd by community

    View on GitHub↗1,154
  • 0xerwin1/dbflux0xErwin1 avatar

    0xErwin1/dbflux

    87View on GitHub↗

    A fast, keyboard-first database client built with Rust and GPUI.

    Rust
    View on GitHub↗87
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Frequently asked questions

What are the main features of akshayubhat/deepvideoanalytics?

The main features of akshayubhat/deepvideoanalytics are: Computer Vision Libraries, Developer Tools, Video Recognition.

Which projects share features with akshayubhat/deepvideoanalytics?

Projects with overlapping indexed features include: heartexlabs/label-studio — Label Studio is a multi-type data labeling tool and data annotation workspace designed to prepare datasets for machine… albumentations-team/albumentations — Albumentations is a computer vision image augmentation library designed to increase training data diversity for deep… 0xax/erlang-bookmarks — All about erlang programming language [powerd by community]. 21st-dev/magic-mcp — Magic MCP is a Model Context Protocol server and AI component generator that translates natural language descriptions… 30-seconds/30-seconds-of-code — This project is a developer knowledge base and a curated library of programming code snippets. It serves as a… 0xerwin1/dbflux — A fast, keyboard-first database client built with Rust and GPUI.