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SukonyaPhukan92 / Image_Based_Air_Pollution_detection_using_InceptionV3_Model

In this project work, the main motive is to build a deep learning model to detect air pollution from real-time images. In order to achieve that goal, we have collected data from different sources and then enhanced the low-quality images using the Image enhancement technique. Our next step was to train a CNN (Convolutional Neural Network) on the images in order to detect air pollution by analyzing the clearness of the sky in the image. In this work, we have used the Inception V3 model. After the successful testing of the CNN model, we have deployed the model on an Android Application.
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Data Set for training model #2

Open PratikDighole opened 1 year ago

PratikDighole commented 1 year ago

Can you please provide me train and validate the dataset used in project?

SukonyaPhukan92 commented 1 year ago

Image Dataset link: https://drive.google.com/drive/folders/1bew6eW4ASIaWWhio5MovlAyeuvb_VYJe?usp=sharing

On Sun, Feb 12, 2023, 17:28 Symbol60 @.***> wrote:

Can you please provide me train and validate the dataset used in project?

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