#hashtag: Age-and-Gender-Detection

Objective :

To build a gender and age detector extension tool that can approximately guess the gender and age of the person (face) in a picture or through webcam.

About the Project :

In this Project, we had used Deep Learning to accurately identify the gender and age of a person from a single image of a face.We used the models trained by Tal Hassner and Gil Levi. The predicted gender may be one of ‘Male’ and ‘Female’, and the predicted age may be one of the following ranges- (0 – 2), (4 – 6), (8 – 12), (15 – 20), (25 – 32), (38 – 43), (48 – 53), (60 – 100) (8 nodes in the final softmax layer). It is very difficult to accurately guess an exact age from a single image because of factors like makeup, lighting, obstructions, and facial expressions. And so, we further made an extension which can be used with various systems to provide additional features

Dataset :

For this project, we had used the Adience dataset; the dataset is available in the public domain and you can find it here. This dataset serves as a benchmark for face photos and is inclusive of various real-world imaging conditions like noise, lighting, pose, and appearance. The images have been collected from Flickr albums and distributed under the Creative Commons (CC) license. It has a total of 26,580 photos of 2,284 subjects in eight age ranges (as mentioned above) and is about 1GB in size. The models we used had been trained on this dataset.

Python Libraries Required :

• Run on CMD

   pip install -r requirements.txt

Working:

Examples :

NOTE:- Reference images are from Google,if you have any query or problem we can remove them.

>python model.py --image Detecting age and gender girl1.png
Gender: Female
Age: 25-32 years

>python model.py --image Detecting age and gender girl2.png
Gender: Female
Age: 8-12 years

>python model.py --image Detecting age and gender kid1.png
Gender: Male
Age: 4-6 years    

>python model.py --image Detecting age and gender kid2.png
Gender: Female
Age: 4-6 years  

>python model.py --image Detecting age and gender man1.png
Gender: Male
Age: 38-43 years

>python model.py --image Detecting age and gender man2.png
Gender: Male
Age: 25-32 years

>python model.py --image Detecting age and gender woman1.png
Gender: Female
Age: 38-43 years

PREVIEW:

Website:

Prototype:

Prototype.mp4

EXTENSION:

Click 'Download Extension' to download our GAD.exe file

NOTE:- We have completed with our executable extension for now. We'll keep updating to the contents of this repo, and thank you for your time.