Geospatial AI GeoAI

Geospatial AI: A Data-Centric Approach for Growth & Development

Artificial Intelligence , Computer Vision , Deep Learning

GeospatialAI or GeoAI is an evolving field aiming to help organize, process, and analyze spatial big data with spatial science and AI methods like machine learning, deep learning, data mining, and high-performance computing. The increased availability of geospatial data, advancements in AI, and the availability of massive computing power have resulted in the mounting relevance …

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data labeling best practices

6 Best Practices of Data Labeling for Object Detection Models

Artificial Intelligence , Computer Vision

Data labeling is a process that involves adding target attributes to data and labeling them to train the machine and deep learning models. Data labeling is crucial in object detection to perform various computer vision tasks such as object segmentation, object counting, and object tracking. The potential benefits of AI-enabled technology for automating the decision-making …

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image annotation

Image Annotation: Guide to Create Training Data for Computer Vision

Artificial Intelligence , Computer Vision , Machine Learning

Image annotation is one of the vital applications of computer vision, which allows the machines a high-level ability to deconstruct digital images or videos and interpret the visual information just like humans. Most of the remarkable applications of AI like self-driving cars, medical imaging, self-flying drones, etc., are only possible through image annotation. While image …

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image classification with deep cnn

Deep CNN for Image Classification: How it Makes a Difference

Computer Vision , Deep Learning

Deep convolutional neural network (CNN) based image classification plays an essential role in seamlessly performing most of the challenges from disease diagnosis to predicting consumerism behavior. Using Deep CNN reduces the time and effort required to spend on extracting and selecting classification features manually. In recent times, deep CNN has been applied to image classification …

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