Leaf Disease Detection using Image Processing and Deep Learning
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Updated
Sep 18, 2019 - Python
Leaf Disease Detection using Image Processing and Deep Learning
HDMIA: An Architect for High Demand Medical Image Analysis using Deep Learning
Simple desktop application for normalization of tensile/compression test data of fiber reinforced composites
Upload an ECG image to receive detailed patient information and diagnosis using LLM and generative AI through Streamlit. The image, along with comprehensive diagnosis details, will be displayed, providing insights into heart health.
Harvestifyy is a plant disease detection project using CNNs. It automates the identification and classification of plant diseases from images, aiding timely intervention. Built with Python, CNN it offers a scalable, real-time analysis tool for agricultural professionals.
该项目基于gradio、wd1.4、chatglm杂交组合,变相实现图像分析的功能,仅为自己练习Gradio,没有额外价值。
An image analyzer for sorting and pre-processing microstructue images of high temperature ceramic coatings
An automated method for estimating micropillar dislocation induced by C. Elegans worms using bright-field videos & image processing
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