Tag images with weather-related data using deep learning models. Photo by Sergey Galtsev on Dribbble Image tagging refers to labeling the different parts, components, and expressions in the image. This helps in selecting images based on content and is very useful in search engines and other similar applications. As a manual process, image tagging is tedious. It […]
Detect the weather in images — Image tagging on cAInvas Read More »
Photo by Pest Control Room Agriculture is an important backbone for any country and India is considered to be an agro-based country. It not only boosts various industries such as food industry and textile industry but when it comes to textile industry cotton producing crops hold a special position amongst all other textile crops. Though growing
Cotton Plant Disease Detection Read More »
Diabetes is a serious problem which many people face nowadays and which can lead to other serious health diseases. During the period of Covid-19 we also came to know that the conditions of a diabetic patient is much more critical than a non-diabetic patient. So if we can take help of deep learning to predict
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Train a model to identify if the sonar wave bounced off a rock or mine in the ocean. Photo by Dirk Rowe on Dribbble Sonar (sound navigation and ranging) is a technique based on the principle of reflection of ultrasonic sound waves. These waves propagate through water and reflect on hitting the ocean bed or any object
Sonar data — Mines vs Rocks — on cAInvas Read More »
A Mineral Classifier can be used to identify the minerals just by looking at their photographs without any need of human intervention and can thus help humans in mineral exploration. It can help metals and mining industry speed up the mineral identification process and will also help in finding the new drill targets. Photo by
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Nowadays we are well aware of the fact that if social media platforms are not handled carefully then they can create chaos in the world. One of the problems faced on these platforms are usage of Hate Speech and Offensive Language. Usage of such Language often results in fights, crimes or sometimes riots at worst.
Hate Speech and Offensive Language Detection Read More »
Crop weeds are weeds that grow amongst crops. Despite the potential for some crop weeds to be used as a food source, many can also prove harmful to crops, both directly and indirectly. Crop weeds can inhibit the growth of crops, contaminate harvested crops and often spread rapidly. And hence it is necessary for the
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Differentiating between a mosquito bite and a tick bite using deep learning. Photo by Oliver Sin on Dribbble There are so many different types of insects around us that tend to bite/sting us when they get close. Insect bites can result in itching, swelling, redness, or rashes. While some of these bites need no special attention,
Identifying insect bites — on cAInvas Read More »
Are they being sarcastic? Photo by Su for RaDesign on Dribbble Sarcasm is the use of words that convey a meaning opposite to the one you actually intend to pass on. It has the ability to flip the sentiment of the sentence. This makes sarcasm detection an important part of sentiment analysis. Most of the datasets
Sarcasm detection in news headlines — on cAInvas Read More »
Detecting whether a person is confused or not based on the EEG recordings. Photo by George Vald on Dribbble Do students always ask doubts when they are confused? How do you know if someone is confused? Facial expressions, maybe. Confusions happen when we are not able to comprehend what we see/hear. EEG, which stands for electroencephalography,
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Assess the quality of glass based on derived features using neural networks. Photo by Maggle on Dribbble The quality of glass refers to its transparency, heat resistance, stability, etc. It depends on many features such as thickness, composition, luminosity, and many others. A variation in its composition can define changes in the quality of glass, thus
Glass quality assessment — on cAInvas Read More »
We all are aware of the pandemic situation created by the outbreak of novel corona virus and the large of number of deaths it has caused worldwide. We are also aware that the cough sound of the covid positive patients is different from that of the normal patients or patients affected by any other disease.
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Predicting the age of abalone (sea snails) from their physical measurements. Photo by Nico Medina on Dribbble Abalone is a common name for sea snails. Determining their age is a detailed process. Their shell is cut through the cone, stained and the rings are counted using a microscope. This is a time-consuming process that can be
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A methods on Windmills for checking predicting fault in the generator using defined sensors and hence preventing the generator from reaching a complete halt. Photo by Mateusz Turbiński on Dribbble This notebook is an implementation of “Pedro Pedrosa Rebouças Filho, Navar M.M. Nascimento, Igor R. Sousa, Cláudio M.S. Medeiros, Victor Hugo C. de Albuquerque, A reliable
Windmill Fault Prediction App Read More »
Built a Deep Learning model using TensorFlow and Keras for grape leaf disease detection Photo by Sasha Kolesnik on Dribbble Aim To develop a Deep Learning model to identify diseased grape leaves using python programming language and Deep learning libraries Prerequisites Before getting started, you should have a good understanding of: Python programming language Deep Learning
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Photo by July PJuxa (Puchkova) on Dribbble Fishes also known as Ichthyology, accounts for the majority of Sea Life on our planet. They range from small centimetre to many meters. It can be even said that is one of the most diversified species on the planet that we mere humans have not explored. Distinguishing them is
FISH BREED CLASSIFICATION Read More »
Have you ever thought that it would have been great if you didn’t have to select Genre in your music app manually and rather your app should recognize the genre of the song through itself just by listening to the song or customize your song library according to the genre of the song that you
Song Genre Prediction Read More »
As we all know we are very close to getting the Autonomous Vehicles on road and for that Traffic Sign Classification is an essential part. It is essential so that the autonomous vehicle can understand the traffic signs properly and take actions accordingly. Photo by Rwds on Dribbble Table of Content Introduction to cAInvas Importing the Dataset
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Photo by Extrafazant on Dribbble The objective of this study is to classify medical images using the Convolutional Neural Network(CNN) Model. Here, I trained a CNN model with a well-processed dataset of medical images. This model can be used to classify medical images based on categories provided as per the training dataset. Implementation is here… About
Disease Classification using Medical MNIST Read More »
Photo by Teodor Hristov for Lobster on Dribbble Harms of Cracks in the Road Most car accidents are caused by drivers making bad decisions, including speeding, failing to yield, and distracted driving. However, some accidents are caused through no fault of the driver. Poor road conditions can lead to accidents injuring drivers, passengers, and pedestrians. Poor road
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Photo by Antonius Setiadi K on Dribbble Pedestrian detection is a subfield of object detection and plays an important role in various applications such as intelligent surveillance systems, person tracking, abnormal-scene detection, and intelligent cars. The objective of this study is to design a convolutional neural network model which can classify images as persons or person-like
Pedestrian Detection Using CNN Read More »
Photo by FM ILLUSTRATION on Dribbble Let’s build a classifier for classifying Insects e.g. Butterfly, Dragonfly, Mosquito, Grasshopper, and Ladybug using Keras Tensorflow Module. Here are the steps we will follow: Data Import Visualizing Images Building Image Generators Model Architecture Prediction About Dataset: The dataset contains images of insects from different websites and there are 5
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Photo by Kristen Brittain on Dribbble Hand Sign Recognition with CNNs – Using a CNN to recognize hand digits can come in handy for many use cases. One of them being smartwatches. If a smartwatch can recognize hand digits, using them to control media in mobile or the watch is no big deal. This can also
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A scientific approach for determining red wine quality using Deep Learning! Photo by Xiedian on Dribbble Red wine’s been a part of our society since millenniums through social gatherings, religious events or even through cultural engagements. There is no denying that drinking red wine is beneficial for our health. It is highly beneficial in preventing or
Is Your Wine Good Enough? Read More »
Photo by Colleen Tracey on Dribbble 310 Observations, 13 Attributes (12 Numeric Predictors, 1 Binary Class Attribute — No Demographics) Lower back pain can be caused by a variety of problems with any part of the complex, interconnected network of spinal muscles, nerves, bones, discs, or tendons in the lumbar spine. Typical sources of low back pain include:
Lower Back Pain Symptoms Detection using NN Read More »
Photo by Vladimir Marchukov on Dribbble Introduction The World Health Organization (WHO) states that Cancer is the leading cause of death worldwide and accounts for nearly 10 million deaths in 2020 alone. Out of all the different possible types of Cancer, Lung cancer was the most common cause of cancer death in 2020, accounting for about
Lung Cancer Detection using Convolutional Neural Network on the Cainvas Platform Read More »
Using a ConvNet built from scratch to automate detection of vehicle damage Photo by Guillaume Kurkdjian on Dribbble Automobiles have become an integral part of the 21st century and every day there’s more cars out on the roads than there were yesterday. This inevitably comes with its own risks and the negligence of some drivers can cause
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Photo by Ivan Mesaros on Dribbble Task A gemstone (gem, fine gem, jewel, precious stone, or semi-precious stone) is a piece of mineral crystal which, in cut and polished form, is used to make jewellery or other adornments. In this project, we will classify the gemstone based on the given image. Dataset — https://www.kaggle.com/lsind18/gemstones-images The dataset consists of
Gemstone Classification using Deep Learning Read More »
Photo by Emma Gilberg on Dribbble Task In this project, we will be classifying the breed of the dog from the given photo of a dog as input. Dataset- https://cainvas-static.s3.amazonaws.com/media/user_data/AmrutaKoshe/dog_photos.zip The dataset consists of 5 selected different breeds of dogs. Each folder is named after a breed and contains around 120 images of that breed. Based
Dog Breed Classification using Deep Learning Read More »
Computer Vision for Convenient Inventory Management Photo by Rachit Tank on Dribbble Retail especially daily needs and grocery stores have been traditional industries since quite a while now. With growing competition in terms of different competitors and increasing technological demands companies need to stay on their toes and up-to-date with innovations or risk staying behind. This
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Photo by Milos Subotic on Dribbble The objective of this study is to classify various types of sports on the basis of snapshots or images of those respective sports. This model can be used to classify sports images or snapshots as per their respective categories. Implementation is here… About the dataset This dataset was developed by
Sports Classification with CNN Read More »