Deep learning tool to find brand logos in everyday pictures
-
Updated
Mar 27, 2022 - Jupyter Notebook
Deep learning tool to find brand logos in everyday pictures
Advanced delogo plugin for AviSynth+
Find logos in images and videos in just one-shot. Never be embarrassed again to say that you have a small data situation!
A Deep One-Shot Network for Query-based Logo Retrieval [Pattern Recognition 2019, Elsevier]
Developed an AI-driven project for Printed Circuit Board (PCB) analysis, incorporating computer vision for image registration, IC detection, and recognition, along with web scraping for data extraction. Also created a GUI to automate and streamline the entire PCB evaluation process.
A brand logo detection system by DETR
Code examples for Google Vision API.
Logo detection using YOLOv7 with LogoDet-3K and Flickr Logos 27.
Application of py_faster_rcnn for logo detection task: ZF & VGG16
Neural Nets for logo detection
A simple php wrapper for the google cloud vision API
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.
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
Vehicles Logos & License Plates Detection using Yolo, Streamlit, OpenCV
Incremental Learning using MobileNetV2 of Logo Dataset
Using app to control Voice Kit(smart speaker)
Logo recognizer implemented for Digital Image Processing classes on Warsaw University of Technology
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."