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Approach I'd take :- 1. Utilizing 5 models such as DenseNet121 , Xception, VGG16, ResNet50, and InceptionV3 for image classification.
2. Applying data augmentation (rotation, zooming, flipping,…
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### Project Proposal: Cat and Dog Image Classification
**Description:**
This project aims to develop a machine learning model that can classify images of cats and dogs. It will involve collecting …
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**Is your feature request related to a problem? Please describe.**
To classify between differnt skin lesions . The dataset for ISIC 2019 contains 25,331 images available for the classification of der…
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### Description
A deep learning model to classify images using TensorFlow and Keras. Use a pre-trained model or build convolutional neural network (CNN).
### Screenshots
_No response_
### Checklis…
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### ML-Crate Repository (Proposing new issue)
🔴 **[Project Addition]: Image Classification using Convolutional Neural Networks (CNN)**
🔴 **Description:** Create a CNN-based model for image class…
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The objective is to classify images as either a cat or a dog using various machine learning and deep learning techniques.
I agree to follow this project's Code of Conduct
I'm a GSSoC'24 contribut…
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### Discussed in https://github.com/autogluon/autogluon/discussions/4253
Originally posted by **dgdhairya** June 7, 2024
I am using kaggle to run autogluon.
I have installed autogluon=1.1.0,…
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Hello,
I am currently working on a domain adaptation project involving image datasets. I have successfully used the ADAPT package and especially DANN implementation in your tutorial, but I am unsure …
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Playing Cards Image Classification
:red_circle: **Aim** : To classify between differnt playing cards. …