Description of YOLO-World along with it's application
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Updated
Feb 13, 2024 - Jupyter Notebook
Description of YOLO-World along with it's application
YOLO World base module for use with Autodistill.
EfficientSAM + YOLO World base model for use with Autodistill.
This repository contains code for detecting Personal Protective Equipment (PPE) using YOLOv8 and YOLO-World's Custom Model with Custom Classes. The goal of this project is to identify whether individuals in images are wearing appropriate PPE such as helmets, safety vests, goggles, etc.
YOLO-World-v2 のGradioデモをColaboratoryで実行するノートブック
Run zero-shot prediction models on your data
ROS compatible package for object tracking based on SAM, Cutie, GroundingDINO, YOLO-World, VLPart and DEVA
ODLabel is a powerful tool for zero-shot object detection, labeling and visualization. It provides an intuitive graphical user interface for labeling objects in images using the YOLO-World model and supports various output formats such as YOLO, COCO, CSV, and XML.
Learning project for exploring generative AI for robotics action planning and control
Class-Conditional self-reward mechanism for improved Text-to-Image models
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
System designed to provide real-time assistance to visually impaired individuals by detecting obstacles in their path and helping them finding desire objects in their environment.
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