.. _Application Catalog:


===================
Application Catalog
===================

The following is a catalog of prebuilt applications designed to **accelerate AI development** by providing ready-to-use models for well-known tasks. These applications include **object detection, depth estimation, semantic segmentation, tracking, and pose estimation**. 

The catalog is divided into two sections:

1. **Developer Community Applications**: Open-source or community-driven AI models for various domains.
2. **SiMa-Provided Applications**: Optimized, hardware-accelerated models tailored for **SiMa AI processors** and multi-camera setups.

These prebuilt applications can **significantly reduce development time** and **provide baseline models** that can be fine-tuned for specific use cases.

Developer Community Applications
--------------------------------

These applications are developed and contributed by the AI community, covering a wide range of deep learning tasks.

.. list-table:: Developer Community Prebuilt Applications
   :header-rows: 1

   * - Application Name
     - Description
   * - SingleCameraIndoorsDepth
     - Optimized for depth estimation from an image includes Robotics Systems for navigation, object detection, and interaction.
   * - LeatherAnomalyDetection
     - Optimized to identify defects and inconsistencies in leather products ensuring high-quality standards in leather processing, reducing manual inspection efforts and minimizing defects in the final product.
   * - SafetyHelmetDetection
     - Designed for real-time monitoring and detection of safety hazards in various environments such as industrial sites, public spaces, and transportation systems.
   * - YoloV7
     - Optimized for improved accuracy, speed, and efficiency this application is widely used for AI tasks such as autonomous driving, surveillance, industrial automation, and smart retail.

SiMa-Provided Applications
--------------------------

These applications are **hardware-optimized** for SiMa AI accelerators and **multi-camera processing**, ensuring high performance for edge AI use cases.

.. list-table:: SiMa Prebuilt Applications
   :header-rows: 1

   * - Application Name
     - Description
   * - 4_cameras
     - Multi-camera input processing for real-time applications
   * - efficient_det
     - Efficient object detection model for constrained environments
   * - open_pose
     - Human pose estimation model for activity recognition
   * - people_tracking
     - Real-time tracking of individuals in video feeds
   * - yolo_v5_ethernet
     - YOLOv5 deployment optimized for Ethernet-based processing
   * - yolo_v5_pcie
     - YOLOv5 optimized for PCIe hardware acceleration
   * - yolo_v7_4_cameras_ethernet
     - Multi-camera processing using YOLOv7 over Ethernet
   * - yolo_v7_ethernet
     - YOLOv7 variant optimized for Ethernet communication
   * - yolo_v7_pcie
     - YOLOv7 deployment optimized for PCIe acceleration