This repository contains a deep learning models project aimed at detecting and classifying images of various sports such as golf, rugby, surfing, and more. The primary objective of this project is to accurately identify and categorize sports images according to their respective names.
- Objective: To develop a system that can detect and classify images of different sports accurately. 🎯
- Technology Used: The project utilizes deep learning models and a pre-trained model MobileNetV2 to achieve high classification accuracy. 🖥️🤖
- Methodology: The machine learning model is trained on a diverse dataset of sports images to recognize and classify them into predefined categories. 🏌️♂️🏉🏄♀️
Dataset -> https://www.kaggle.com/gpiosenka/sports-classification
- Multi-Sport Detection: Capable of detecting and classifying images from a variety of sports. 🏌️♂️🏉🏄♀️
- High Accuracy: Utilizes advanced machine learning models to ensure high classification accuracy. 🎯
- Scalability: Can be extended to include more sports categories and improve detection capabilities. 📈
- Clone the repository. 📂
- Install the required dependencies. ⚙️
- Run the classification script with your desired input images.
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This project serves as a practical tool for automatically detecting and classifying sports images. By leveraging advanced computer vision techniques, it provides a reliable solution to categorize sports images accurately. 🏅🔍
This repository was created as part of the project for the Hacktiv8 Data Science Bootcamp in 2021. 📅 As such, there may be limitations or outdated methods used in this project. Your understanding and patience are appreciated. 🙏