The recent growth in social media and the social platform has increased the amount of applications. The automatic classification of age and gender has become a key cause for an enormous growth of use cases. However, if we compare the performance in terms of accuracies of the tasks related to face recognition to current methods used on real-world images, it is lacking considerably. The project we are going to work with is based on learning representations to classify the age and gender by usin...

The objective of this task is to get acquainted with image and scene categorization. Initially, we try to extract the image features, prepare a classifier using the training samples, and then assess the classifier on the test set. Later, we considered pre-trained AlexNet and ResNet models, and fine-tuned and applied them on the considered dataset.