72 skills found · Page 1 of 3
PaddlePaddle / PaddleClasA treasure chest for visual classification and recognition powered by PaddlePaddle
thomas-yanxin / ColugoMum🍰🍎ColugoMum: Intelligent Retail Settlement Platform can accurately locate and identify each commodity, and can return a complete shopping list and the actual total price of commodities that customers should pay.
etano / ProductnerAlgorithms to categorize products and do named entity recognition on words in product descriptions
gulvarol / GrocerydatasetToward Retail Product Recognition on Grocery Shelves, 2014
empathy87 / Nn Grocery ShelvesRecognition of product positions on shelf images using neural networks
msight-tech / Imaterialist Product 2019iMaterialist Challenge on Product Recognition at FGVC6, CVPR 2019
sayakpaul / Grocery Product DetectionThis repository builds a product detection model to recognize products from grocery shelf images.
mingliangzhang2018 / AliProducts ChallengeIn CVPR 2020 AliProducts Challenge: Large-scale Product Recognition, we got error rate 0.099 and ranked No.6. The model will get higher score if using deeper backbone, larger batch-size or larger resolution.
maciej-cecot / Brand DetectionNamed Entity Recognition project, which goal is to detect brands from Ebay/Amazon product titles.
evrythng / Scanthng.jsA JS library enabling scanning products directly from (mobile) browsers. Supports Image Recognition and more than 20 barcode types including UPC, EAN, QR, Digimarc and DataMatrix codes.
Ayoob7 / Facenet Face RecognitionThis is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.
DataArk / GAIIC2022 Product Title Entity Recognition BaselineGAIIC2022商品标题实体识别Baseline，使用GlobalPointer实现，线上0.80349
SomiaImdad / Plant Disease Diagnostics Using UAV And Android APPPlant diseases causes many significant damages and losses in crops around the world. Some suitable measures on disease identification should be introduced to prevent damages and minimize losses. Early Detection of Disease helps in increasing the crop productivity as well as in minimizing expense. Technical approaches using machine learning and computer vision are actively researched to achieve intelligence farming by early detection on plant disease. The accuracy of object detection and recognition systems has been drastically improved by the recent development in Deep Neural Networks. By using these systems and implementation of computer vision and machine learning techniques, plant diseases can be detected. Here we have used transfer learning based approach to diagnose diseases of different plants using its images captured by camera devices either drone or smartphone. Our goal is to build a market oriented product for Plant Disease Detection, a smartphone app compatible with both smartphone camera and drone camera. The target group of the user is those who request a quick diagnosis on common leaf disease at any time of the day i.e. Farmers, agricultural industries, agricultural consultants and Government Agencies & Departments.
luoqingshan / Production Animal Recognition System基于Python/PyQT5的产生式动物识别系统
ChenDelong1999 / MEP 3M🎁 A Large-scale Multi-modal E-Commerce Products Dataset (LTDL@IJCAI-21 Best Dataset & Pattern Recognition 2023)
Landstein / Product Named Entity RecognitionTrain a model to find the names of products in text
shruti821 / Leaf Disease Detection Using Image ProcessingAgricultural productivity is something on which economy highly depends. This is the one of the reasons that disease detection in plants plays an important role in agriculture field, as having disease in plants are quite natural. If proper care is not taken in this area then it causes serious effects on plants and due to which respective product quality, quantity or productivity is affected. For instance a disease named little leaf disease is a hazardous disease found in pine trees in United States. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself it detects the symptoms of diseases i.e. when they appear on plant leaves. This paper introduces an efficient approach to identify healthy and diseased or an infected leaf using image processing and machine learning techniques. Various diseases damage the chlorophyll of leaves and affect with brown or black marks on the leaf area. These can be detected using image prepossessing, image segmentation. Support Vector Machine (SVM) is one of the machine learning algorithms is used for classification. The Convolutional Neural Network (CNN) resulted in a improved accuracy of recognition compared to the SVM approach.
DFRobot / DFRobot ID809This capacitive fingerprint sensor supports fingerprint capture, image processing, fingerprint storage, fingerprint comparison and so on. Taking ID809 high-performance processor and semiconductor fingerprint sensor as the core, the sensor adopts built-in IDfinger6.0 algorithm, which can complete all fingerprint identification work independently. The product supports UART communication. When working with Arduino library, it can easily realize functions like fingerprint registration, fingerprint deletion, etc. This fingerprint sensor comes with round breathing LEDs and has a simple structure, small size, and delicate appearance. The sensor offers fast recognition speed and high security. What’s more, it supports 360-degree arbitrary angle recognition and deep self-learning function, high performance and low power consumption.
vmc-7645 / YOLOv8 RetailDetect retail products via the YOLOv8 object recognition engine.
mrahman4 / Aws AIFlutter package to wrap Amazon artificial intelligence (AI) services, which provide flutter community developers with the ability to add intelligence to their applications through an API call to pre-trained services rather than developing and training their own models. Amazon AI services are : * Amazon Rekognition : built on technology used by Amazon Prime Photos to analyze billions of images daily, is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images, as well as search and compare faces between images. * Amazon Polly (still not implemented): a service that turns text into lifelike speech. Polly lets you create applications that speak in over two dozen languages with a wide variety of natural sounding male and female voices to enable you to build entirely new categories of speech-enabled products. * Amazon Lex (still not implemented) : uses the same technology as Amazon Alexa to provide advanced deep learning functionalities of automatic speech recognition (ASR) and natural language understanding (NLU) to enable you to build applications with conversational interfaces, commonly called chatbots.
