robinreni96/Automatic-Face-Detection-Annotation-and-Preprocessing
Its an open source code to easily preprocess your images for mapping faces and convert a tfrecord , csv file to train your model.
When building a facial recognition system, this project automates the critical and often tedious step of preparing your image data. It takes raw JPG images, automatically detects faces, annotates their locations with coordinates, and converts this information into structured CSV and TFRecord files. This tool is designed for AI/ML developers who need to quickly prepare datasets for training face detection or recognition models.
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Use this if you are an AI developer looking to efficiently preprocess image datasets for facial recognition tasks by automatically detecting faces and generating training-ready data formats like CSV and TFRecord.
Not ideal if your images contain multiple faces per class or are not in JPG format, as these scenarios are not supported.
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Language
Python
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Last pushed
Nov 22, 2022
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