Emotion Detection Model for Facial Expressions

Project Description:

In this project, we developed an Emotion Detection Model using a curated dataset of 715 facial images, aiming to accurately recognize and categorize expressions into five distinct emotion classes. The emotion classes include Happy, Sad, Fearful, Angry, and Neutral.

Objectives: - Train a robust machine learning model capable of accurately detecting and classifying facial expressions in real-time. - Implement emotion detection to enhance user experience in applications such as human-computer interaction, virtual assistants, and emotion-aware systems.

Methodology: 1. Data Collection and Preprocessing: - Assembled a diverse dataset of 715 images featuring individuals expressing different emotions. - Employed Roboflow for efficient data preprocessing, handling image augmentation and normalization.

1. Model Architecture:

   • Utilized a convolutional neural network (CNN) architecture to capture spatial hierarchies in facial features.
   • Implemented a multi-class classification approach to categorize images into the predefined emotion classes.

2. Training and Validation:

   • Split the dataset into training and validation sets for model training and evaluation.
   • Fine-tuned the model parameters to optimize accuracy and generalization.

3. Model Evaluation:

   • Evaluated the model's performance on an independent test set to assess its ability to generalize to unseen data.
   • Analyzed confusion matrices and classification reports to understand the model's strengths and areas for improvement.

4. Deployment and Integration:

   • Deployed the trained emotion detection model for real-time inference.
   • Integrated the model into applications, allowing users to interact with systems based on detected emotions.

Results: The developed Emotion Detection Model demonstrates high accuracy in recognizing and classifying facial expressions across the defined emotion classes. This project lays the foundation for integrating emotion-aware systems into various applications, fostering more intuitive and responsive interactions.

Facial Emotions Detection

## Overview

Facial Emotions Detection is a dataset for object detection tasks - it contains Angry annotations for 2,708 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Emotion Recognition

## Overview

Emotion Recognition is a dataset for object detection tasks - it contains Face annotations for 2,403 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

Face Emotion Recognition (2)

## Overview

Face Emotion Recognition (2) is a dataset for object detection tasks - it contains Emotions annotations for 299 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Facial Emotion Recognition

## Overview

Facial Emotion Recognition is a dataset for object detection tasks - it contains Emotions annotations for 4,540 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Emotion Baby

## Overview

Emotion Baby is a dataset for object detection tasks - it contains Emotion annotations for 451 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Face And Emotion Recognition

## Overview

 Face And Emotion Recognition is a dataset for object detection tasks - it contains Happy annotations for 4,589 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Here are a few use cases for this project:

1. Mental Health Analysis: This model could be used for developing teletherapy or e-counseling applications. By analyzing the emotional state of patients during sessions, therapists can get additional insights about their emotional health.

2. Education and Learning Development: In e-learning platforms, it can analyze students' emotional response during a lesson and adapt content accordingly to improve engagement and learning outcomes.

3. Customer Satisfaction Analysis: Retail or service businesses can use the model to assess customer emotions in real-time or from recorded footage to gauge customer satisfaction and improve services accordingly.

4. Social Media Analysis: Social media platforms can use it to detect the emotional state of users from their uploaded images or live video streams, allowing them to tailor the user content feed accordingly.

5. Interactive Entertainment and Gaming: Video game developers can use this model to evaluate players' emotional responses and adapt gameplay to achieve a better player experience.

Facial Expression Recognition

## Overview

Facial Expression Recognition is a dataset for classification tasks - it contains Emotions annotations for 7,939 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Here are a few use cases for this project:

1. Mental Health Monitoring: The emotion recognition model could be used in a mental health tracking app to analyze users' facial expressions during video diaries or calls, providing insights into their emotional state over time.

2. Customer Service Improvement: Businesses could use this model to monitor customer interactions in stores, analysing the facial expressions of customers to gauge their satisfaction level or immediate reaction to products or services.

3. Educational and Learning Enhancement: This model could be used in an interactive learning platform to observe students' emotional responses to different learning materials, enabling tailored educational experiences.

4. Online Content Testing: Marketing or content creation teams could utilize this model to test viewers' emotional reactions to different advertisements or content pieces, improving the impact of their messaging.

5. Social Robotics: The emotion recognition model could be incorporated in social robots or AI assistants to identify human emotions and respond accordingly, improving their overall user interaction and experience.

Joel Emotion Recognition

## Overview

Joel Emotion Recognition is a dataset for object detection tasks - it contains Emotions annotations for 1,203 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Face Detection With Yolov8

## Overview

Face Detection With Yolov8 is a dataset for object detection tasks - it contains Face annotations for 3,479 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

ML WS22 Emotion Recognition

## Overview

ML WS22 Emotion Recognition is a dataset for object detection tasks - it contains Emotion annotations for 1,418 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Emotion Recognition YOLO V7 FYP

## Overview

Emotion Recognition YOLO V7 FYP is a dataset for object detection tasks - it contains Emotion annotations for 600 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Emotion Recognition YOLO V11 FYP 2

## Overview

Emotion Recognition YOLO V11 FYP 2 is a dataset for object detection tasks - it contains Emotion V2Q8 annotations for 800 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Face Gender Recognition

## Overview

Face Gender Recognition is a dataset for object detection tasks - it contains Gender annotations for 1,161 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Emotion_recognition

## Overview

Emotion_recognition is a dataset for object detection tasks - it contains Emotions annotations for 7,894 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Expression Recognition

## Overview

Expression Recognition is a dataset for object detection tasks - it contains Expressions annotations for 519 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

Google Scraping Dataset

## Overview

Google Scraping Dataset is a dataset for object detection tasks - it contains Facial Emotions annotations for 608 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Emotion_recognition_with_surprised_full_version

## Overview

Emotion_recognition_with_surprised_full_version is a dataset for object detection tasks - it contains Emotions annotations for 1,274 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).