this setup support Ubuntu 18.04
-
Updated
Sep 15, 2021 - Shell
this setup support Ubuntu 18.04
뭐먹었지도 - food detector (using YOLOv3)
An object detector using YOLOv3 Darknet that can identify four different types of white blood cells in rhesus macaque monkeys
Rasa Gastroenterologist AI Chatbot to help doctor detect patients colon cancer lesions using Unity, Darknet Yolo, Keras CNN
Image localization with YoloV1 on MNIST and company mealtray datasets
Building OCR using YOLO and Tesseract for Thai national id card
Fork. Darknet framework with modifications for easing the training and evaluating
Image Dataset and Weights for image recognition of Explosive Devices
Full_Loop_YOLO.py is a wrapper for creating custom YoloV7, darknet YoloV4-tiny &; regular sized Yolov4 models on your custom datasets.
CV project to detect objects using YOLOV4-scaled
Create visualisation to Yolo dataset.
This undertaking revolves around ayurvedic plants with medicinal applications. Given the abundant variety of plants in our environment, it's often challenging to discern their specific use cases. Consequently, I've developed an image recognition Machine Learning model that can accurately identify and categorize these plants.
It is a Trash Plastic Detection system. It comes with both CLI and web versions. Embedded computers with Satellites, drones, submarines, etc. detect and send pictures of trash plastic to a database. It can detect plastics from a video, and send them to a server. A web interface also available where we can upload video, and trash pastics of the v…
Description of YOLO-World along with it's application
Converts Darknet YOLO models to PyTorch/ONNX
Training YoloV3 with custom dataset
Implementation of object detection in images using YOLO model and open CV.
A simple demonstration of vehicle detection and classification using YOLOv3.
Telegram bot, which detects face masks on images
Add a description, image, and links to the darknet-yolo topic page so that developers can more easily learn about it.
To associate your repository with the darknet-yolo topic, visit your repo's landing page and select "manage topics."