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booncon-weather

Design and implement using HTML5, CSS and JS a mock up of a single page interface for a simple web-based weather app. The app allows users to enter and save a post code. Weather is then displayed for all post codes that have been entered. Your submission just needs to be a static implementation (i.e. an HTML5/CSS/JS mockup) of the design. No back

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

fast-rcnn

Fast R-CNN

fast-rcnn-1

My implementation of Fast-RCNN （tensorflow）

faster-rcnn

首先这是一个博主的代码，博主：https://space.bilibili.com/18161609/channel/detail?cid=113611&ctype=0。本人基于学习之余对改代码进行修改，利用该代码对天池重庆工业酒瓶缺陷检测。

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

maskrcnn

MaskRCNN model trained, using rice disease dataset, on top of coco weights for disease detection.

mmagic_tutorials

Jupyter notebook tutorials for MMagic

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmdetection1220

mmediting

MMEditing is a low-level vision toolbox based on PyTorch, supporting super-resolution, inpainting, matting, video interpolation, etc.

mmgeneration

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

mmgeneration_tutorials

Jupyter notebook tutorials for mmgeneration

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch_fast-er_rcnn

Pytorch Fast R-CNN and Faster R-CNN Implementation. Pytorch 1.1/1.2, Torchvision 0.3/0.4. No installation required.

r-cnn

目标检测 - R-CNN算法实现

raindetectionandremoval

Joint Rain Detection and Removal from a Single Image

rice-disease-predictior

I will use the Rice Leaves image dataset to train the CNN Model to predict the disease.

rice-diseases_detection

Crop Disease Detection Using Deep Learning -Deep learning project-Matlab In recent times, drastic climate changes and lack of immunity in crops has caused substantial increase in growth of crop diseases. This causes large scale demolition of crops, decreases cultivation and eventually leads to financial loss of farmers.The leaves have texture and visual similarities which attributes for identification of disease type. Hence, computer vision employed with deep learning provides the way to solve this problem. This project proposes a deep learning-based model which is trained using public dataset containing images of healthy and diseased crop leaves. The model serves its objective by classifying images of leaves into diseased category based on the pattern of defect

rice-leaf-diseases

rice-leaf-diseases-detection

For this project, we are going to detect rice leaf disease using CNN and serve the result via messenger chatbot. We will also implement this to an independent Android app.

rice-leaf-diseases-detection-1

Using a small rice leaf dataset, I used different machine learning techniques and build different convolutional neural

rice-plant-diseases-dataset-prottasha

rice_dataset

A Remote Sensing Image Dataset for Cloud Removal

ricedatasets---preprocessing

TUBES Kelas Pembelajaran Mesin

ricediseases-dataset

Data Set for Rice Diseases with labels

riceleafdataset

riceseedlingdataset

A repository to open rice seedling dataset.