Use Cases

Detect the weather in images — Image tagging on cAInvas

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 …

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Cotton Plant Disease Detection

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 …

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Diabetes Prediction

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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Mineral Classification

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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Crop Weed Detection

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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