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