ghonem22 / egyptian-currency-detection-using-yolov5

Using artificially Generated currency Dataset with YoloV5 to build currency detection model

Egyptian-Currency-Detection-using-YoloV5

Using artificially Generated currency Dataset with YoloV5 to build currency detection model

Dataset

you will find the generated dataset in this link: https://drive.google.com/file/d/1-1fHYR2hm1FcvflfbhDEIoICin7eFYwq/view?usp=sharing

How to use this dataset from drive directly through "YOLOv5_Currency_detection.ipynb":

1- open the link, select "Add shortcut to drive".

2- select a place to add the shortcut in.

3- open the notebook, mount your drive, and then you will find the shortcut of the zipped file at the place you selected.

4- now, you can unzip the dataset and start working on it.

You should notice some points::

1- this dataset is artifically generated using python script, it won't be realistic, but its result will be kind of good.

2- You can enhance the results with very little realistic dataset by building on the model you trained using the generated dataset.

3- there are some techniques we can use with the generation code to get a realistic generated dataset as possible.

This is the link of Data Generation repo:

https://github.com/Ghonem22/Image-Data-Generation

Trained Model

You can Download and use the trained model directly from this drice link: https://drive.google.com/file/d/1KY1TLtGI0l8gb7N8PMag2yQv2nPaGrB7/view?usp=sharing

Given That:

This model is trained for 20 epoch only, you can't rely on its results.