Plant Disease Detection using the PlantDoc Dataset and …
Then we will go over the reasons to choose the PyTorch Faster RCNN model for this project. Also, we will get familiar with the codebase that we will use to train the model. After that, we will check the directory structure of the project. Then we will move on to training the Faster RCNN model on the PlantDoc dataset for plant disease detection.
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GitHub
This repository contains the PlantDoc dataset used for benchmarking classification models in the paper titled "PlantDoc: A Dataset for Visual Plant Disease Detection" which was accepted in the Research Track at ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD 2020).
PlantDoc Object Detection Dataset
Download 2569 free images labeled with bounding boxes for object detection.
PlantDoc-Object-Detection-Dataset/README.md at master
This repository contains the PlantDoc dataset used for benchmarking classification models in the paper titled "PlantDoc: A Dataset for Visual Plant Disease Detection" which was accepted in the Research Track at ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD 2020).
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Annual Report World Cement Association ... The industrial project that we are carrying out is renewing with a "new generation" entrepreneurial dynamism, integrating the environmental, social …
PlantDoc: A Dataset for Visual Plant Disease Detection
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Against this background, we present PlantDoc: a dataset for visual plant disease detection. Our dataset contains 2,598 data points in total across 13 plant species and up to 17 classes of diseases, involving approximately 300 human hours of effort in annotating internet scraped images.
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PlantDoc: A Dataset for Visual Plant Disease Detection
Download full-text PDF Read full-text. ... we present PlantDoc: a dataset for visual plant disease detection. ... for that, a framework is proposed in this project. Using a public dataset, the ...
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PlantDoc Object Detection Dataset
Overview. The PlantDoc dataset was originally published by researchers at the Indian Institute of Technology, and described in depth in their paper.One of the paper's authors, Pratik Kayal, shared the object detection dataset available on GitHub.. PlantDoc is a dataset of 2,569 images across 13 plant species and 30 classes (diseased and healthy) …
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PlantDoc: A Dataset for Visual Plant Disease Detection
Cropped-PlantDoc Dataset: To show the differences between our dataset and PlantVillage, we built another dataset called the Cropped-PlantDoc (C-PD) by cropping the images using bounding box information. Similar to PlantVillage, cropped images contains only the leaf but these images are of low-quality, have small-size and varying …
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PlantDoc: A Dataset for Visual Plant Disease Detection
India loses 35% of the annual crop yield due to plant diseases. Early detection of plant diseases remains difficult due to the lack of lab infrastructure and expertise. In this paper, we explore the possibility of computer vision approaches for scalable and early plant disease detection. The lack of availability of sufficiently large …
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