bear-vs-panda-image-processing-model

An image processing model which uses deep learning algorithm to differentiate between a bear and a panda

Building the model

libraries needed:

1. Tensorflow 2. Opencv 3. os 4. Numpy 5. Random

Dataset:

Dataset downloaded from kaggle

Model Working:

The model works by allowing a kernel matrix to move over the image. As the kernel matrix moves it detects the edges of the bear or the panda. The model is trained using previously fed data by using the above feature and during this process the model has a label associated with every image. After training the model can now be used to predict random images taken from any platform.