NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

Run zero-shot prediction models on your data

ROS compatible package for object tracking based on SAM, Cutie, GroundingDINO, YOLO-World, VLPart and DEVA

YOLO-World-v2 のGradioデモをColaboratoryで実行するノートブック

EfficientSAM + YOLO World base model 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.

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.

Class-Conditional self-reward mechanism for improved Text-to-Image models

BrainHack 2024 competition repository for the TIL-AI category in the Novice track for Team dingdongs.

Learning project for exploring generative AI for robotics action planning and control

Description of YOLO-World along with it's application

Repository containing implemetation and documentation of master's thesis Object detection and segmentation in historical encrypted manuscripts at at Faculty of Electrical Engineering and Information Technology of Slovak University of Technology in Bratislava (FEI STU).