This task requires you to do some binary classification on a set of testing images (sunny images vs not sunny images). You will be provided with:
- 259 labelled training data
- 2818 of test data, which are not labelled.
Each data instance is represented as a 4608 dimensional feature vector. This vector is a concatenation of 4096 dimensional deep Convolutional Neural Networks (CNNs) features extracted from the fc7 activation layer of Caf-feNet 1 and 512 dimensional GIST 2 features
The task is to develop a binary-class classifier that predicts the labels for the test data set.
Additionally, you are also provided with three types of information that might be useful when building your classifier:
a) additional 2331 labelled training data which is incomplete as it has missing feature values
b) confidence of the label annotation for each training data point (259 labelled training data and additional but incomplete 2331 labelled training data)
c) the proportion of positive (sunny) data points and the proportion of not sunny data points in the test set.
You can choose to incorporate or to ignore these additional data.
The report will consist of 3 stages, approach, method, results and discussions. More information will be given in a pdf when speaking to the chosen freelancer
23 freelance font une offre moyenne de £117 pour ce travail
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Hi there, I have read your project description and i'm confident i can do this project for you perfectly.I still have a few questions. please leave a message on my chat so we can discuss the budget and deadline of the Plus
Hi, I am an expert in Image classification. I am very familiar with binary classifier of images. I can do your project perfectly. Waiting for your response. Thanks.
Hello, dear! I am interested in your project. I have extensive experience in image processing and computer vision such as feature extraction, segmentation, classification, object detection, image recognition, real ti Plus
Hello, I have good experience with Python and its libraries related to ML/DL like scikit-learn, statsmodels, nltk, pytorch, numpy, pandas, matplotlib etc. I can help you implement binary classifier using my knowledg Plus
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Hi. I am an expert in image processing. I have many experiences in Image classification. I am sure I can do it. We can discuss details via chat. I wait for you now. Thanks.
I have gone through your project details "Create a binary classifier to implement on images with a report"Looking for a candidate that is extremely familiar with the responsibilities associated with the role and can pe Plus
Hello, I am Marios Karatisoglou, a software developer with a Bachelor in Computer Science. Since my main focus is data science and machine learning, I have strong knowledge in machine learning algorithms and Python pro Plus
Hey there. I’m interested in working on your machine learning project. I have expertise in ML and AI and I have implemented CNN classifier
I've worked at a Kleiner-Perkins funded AI startup for the past two summers. I've focused especially in on CNN (Convolutional Neural Networks). Creating a model as you described should be no problem at all. If you w Plus
Hi there, I have done several projects in Computer vision and object detection using Deep learning techniques. I can do this one too. Please inbox me any time so that we can discuss further.
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In this classification firstly I will explore the labelled images. After that based on the exploration I will decide the model structure (i.e., number of convolution layer , type of pooling ,filter size etc). Before f Plus
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Greetings, My name is Parth Sharma and I am an expert in Deep Learning. I would love to have an opportunity to discuss the project with you. I have over 2 years of experience in developing and deploying machine lear Plus