NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
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Updated
May 31, 2024 - Python
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
ROS compatible package for object tracking based on SAM, Cutie, GroundingDINO, YOLO-World, VLPart and DEVA
Run zero-shot prediction models on your data
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
Description of YOLO-World along with it's application
EfficientSAM + YOLO World base model for use with Autodistill.
Class-Conditional self-reward mechanism for improved Text-to-Image models
Learning project for exploring generative AI for robotics action planning and control
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.
YOLO World base module for use with Autodistill.
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.
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