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This repository has educational purposes only. It is shown how to build a simple Object Detector from scratch using Tensorflow & Keras

License: MIT License

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simple-object-detector-from-scratch's Introduction

simple-object-detector-from-scratch

This repository has educational purposes only. It is shown how to build a simple Object Detector from scratch using Tensorflow & Keras.

The code to build the detector is shown in this notebook

You can also run the code on this colab notebook.

Check this story on medium for more details: https://medium.com/@doleron/building-your-own-object-detector-from-scratch-bfeadfaddad8

model predictions

Notes

The model is trained using the Labeled Mask database: https://www.kaggle.com/datasets/techzizou/labeled-mask-dataset-yolo-darknet

This repo uses IoU (Intersection over Union) to check the model performance on test data. The original implementation of IoU was get from Pyimagesearch: https://pyimagesearch.com/2016/11/07/intersection-over-union-iou-for-object-detection/

model diagram

This repository was tested locally on Ubuntu 22.04 and also on Google Colab: https://colab.research.google.com/drive/1P1CC2f-V_oBTUJFwblgmW-E9xe-19Osi

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