Logo Detection with Tensorflow (2) Object Detection API- Project for Bocconi's Deep Learning Course
-
Updated
Dec 25, 2021 - Jupyter Notebook
Logo Detection with Tensorflow (2) Object Detection API- Project for Bocconi's Deep Learning Course
Computer vision using YOLOV8 for logo recognition and identification
Vehicles Logos & License Plates Detection using Yolo, Streamlit, OpenCV
C# Tool for parsing FlickrLogos32 data set to KITTI and Darknet.
Logo Dataset (FlickrLogos, labelme) Handling for YOLOv5
Using app to control Voice Kit(smart speaker)
Course project for 198:534 at Rutgers University. This project is aimed at reproducing the results of the paper titled "Open Set Logo Detection and Retrieval" and extending on the same.
Logo Detection model with PyTorch by using keras and Flask
Logo Detection of a custom small dataset. The dataset contains logos of 6 famous brands: Nike, Jordans, Adidas, Puma, Kappa, Quicksilver. The model was developed using the Object-Detection-API by Tensorflow
Unlock the sonic potential of your visual brand identity with BrandVision. Our innovative AI technology analyzes your logo and translates its essence into captivating auditory experiences. Dive deeper into your brand, understand its unique sonic personality, and create unforgettable connections with your audience.
Detecting and Replacing Advertisements in Multimedia Content based on Brand Images/Logos.
Incremental Learning using MobileNetV2 of Logo Dataset
Logo recognizer implemented for Digital Image Processing classes on Warsaw University of Technology
Logo Detection & Segmentation
CSCI576 Final Project. Detecting and Replacing Advertisements in Multimedia Content based on Brand Images/Logos.
Neural Nets for logo detection
Advanced delogo plugin for AviSynth+
Logo detection using YOLOv7 with LogoDet-3K and Flickr Logos 27.
Add a description, image, and links to the logo-detection topic page so that developers can more easily learn about it.
To associate your repository with the logo-detection topic, visit your repo's landing page and select "manage topics."