#Annotation

This compile-time dependency injection library for Kotlin automates component generation, making code more readable and reducing the need for manual configuration. Featured elements include component arguments, qualifiers, type alias support, scopes, and function injection. Users enjoy benefits like multi-bindings, default arguments, assisted injection, and lazy initialization. Compatible with Kotlin Symbol Processing (KSP), it allows for Javax annotations, easing transitions. Perfect for building scalable Kotlin applications, the project is suited for various scenarios such as Android and multiplatform projects, complete with detailed documentation and samples.

DeepDataSpace (DDS) is an open-source tool for enhancing computer vision data management through visualization and annotation. Offering features like interactive dataset exploration and intelligent workflows, DDS supports platforms such as Mac OS, Windows 10, and Ubuntu and is compatible with Python 3.8 to 3.10. The installation process includes options via PyPI, Docker Compose, or source code. Its intuitive command line interface allows for rapid dataset exploration, supported by thorough documentation and tutorials for effective data management.

Diffgram provides efficient AI data management with strong human supervision and versatile media type labeling, ideal for businesses with compliance needs. Discover the benefits of the new Diffgram license version 2 and gain additional value with contributors' financial credits.

Discover Calliar, a rare online dataset specifically for Arabic calligraphy, with 2,500 annotated files that provide detailed insights into strokes, characters, words, and sentence structures. This dataset effectively fills a gap in Arabic calligraphy resources by offering advanced visualization tools and data for both research and artistic endeavors. Stored in json and npz formats, it ensures efficient storage and accessibility for scholars and enthusiasts working within digital spaces. Complete with visualization scripts and server setup instructions, Calliar delivers a full toolkit for researchers and calligraphy aficionados alike.

DLTA-AI facilitates advanced data annotation and object tracking with seamless integration of leading Computer Vision models, including Meta's Segment Anything. It supports comprehensive model selection and provides robust editing tools, allowing for precise video and image annotations. Export options include common formats like COCO and MOT, and custom formats for project-based flexibility. Ideal for applications seeking efficient AI-assisted data labeling and processing.