GitHub - Mangesh1973/Face-Detection-: In this hands-on project, the goal is to build a face detection model which includes building a face detector to locate the position of a face in an image. Dataset: WIDER Face Dataset WIDER FACE dataset is a face detection benchmark dataset, of which images are selected from the publicly available WIDER dataset. This data has 32,203 images and 393,703 faces are labelled with a high degree of variability in scale, pose and occlusion as depicted in the sample images. In this project, we are using 500 images and 1100 faces for ease of computation. We will be using transfer learning on an already trained model to build our detector. We will perform transfer learning on Mobile Net model which is already trained to perform object detection. We will need to train the last 6-7 layers and freeze the remaining layers to train the model for face detection. To be able to train the Mobile Net model for face detection, we will be using WIDER FACE dataset which already has the bounding box data for various images with a single face and multiple faces. The output of the model is the bounding box data which gives the location of the face in an image. We learn to build a face detection model using Keras supported by Tensorflow.

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In this hands-on project, the goal is to build a face detection model which includes building a face detector to locate the position of a face in an image. Dataset: WIDER Face Dataset WIDER FACE dataset is a face detection benchmark dataset, of which images are selected from the publicly available WIDER dataset. This data has 32,203 images and 3…