bird species detection using deep learning algorithm

Bird Species Detection using Deep Learning Algorithm

Bird Species Detection using Deep Learning Algorithm with best accuracy

Bird Species Detection using Deep Learning Algorithm with best accuracy has bee achieved using VGG16 CNN model for training and classification. This project is implemented in Python programming. Bird species dataset containing 325 classes of birds are take for this work. The dataset contained train, test and validation data. The detection is bird species has been achieved with good accuracy.

The following screen shows the performance of detection and classification based on test input

Performance of Bird Species Detection and Classification Output

Bird Species Classification accuracy for Training and validation
Bird Species Classification accuracy for Training and validation
Bird Species Detection using Deep Learning Algorithm with best accuracy
Bird Species Detection using Deep learning model

What is the advantages of this project?

In this project, we can identify the bird species for selected birds as shown above. Moreover, in this work, user can choose a bird and classify its species using our trained model.

You can watch the Bird species classification using VGG16 demo video under following

Bird Species Detection using Deep Learning – VGG16 model

Are you interested to check more VGG 16 implementation? some of the project is given below

Skin Disease detection using Deep learning algorithm

python projects

stock price prediction in machine learning and Deep learning

Stock price prediction using machine learning and deep learning

Stock price prediction using machine learning and deep learning is the python project implemented with Decision tree algorithm for ML and Convolutional Neural Network for DL. This also gives stock price forecast for next 5 days.

How to Download dataset for Stock Price prediction?

We have used NSE real time data and it can be download with the use of mpl_finance library through python code. The data we have downloaded from 2000 to till date. We can able to download any stock data depending on the symbol fiven by NSE India.

What is the algorithm Used for this project?

The algorithm used are Decision Tree and CNN algorithm

What is the output of the project?

Stock price prediction is the ultimate output of the project. Whereas we also evaluated the performance of algorithm by measures such as MAE, MSE, RMSE and R-Squared error values.

Stock price prediction using machine learning and deep learning

What is the application of Stock price prediction?

Stock price prediction is useful for traders and investors for the predicting and forecasting the price. The volatility nature of stock price may reduce the performance of the algorithm.

What is the advantages of this project?

In this project, any stock price prediction can be performed. The stock symbol represented by NSE should be given. Thus any NSE stock can be given and download real time data for prediction.

Demo of the project can be viewed below

Stock price prediction using Machine learning and deep learning algorithm
ieee projects

Cross Walk detection from Images and Videos for Pedestrian to cross Zebra crossing

Cross Walk detection from Images and Videos

Cross Walk detection from Images and Videos for pedestrian to cross Zebra crossing in roads. This application is developed using pre-trained model. The detection is done for cross walks on the roads.

What is the use of this application?

This application can detect cross walks on the roads, which in turn detecting is useful for autonomous vehicle to find the cross walk and control the speed of vehicle.

What is the output of the project?

We detect the person among the cross walk and ensure that they are cross through zebra crossing. Cross walks is detected on the road. The output sample is given below.

Cross Walk detection from Images and Videos

Demo of the project is available below

Cross Walk detection from Images and Videos for Pedestrian to cross Zebra crossing

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