Welcome to the Object Classification project repository! This project is an academic endeavor associated with a course at the Indian Institute of Technology(IIT), Jodhpur.
The objective of this project is to develop a system for object classification, a fundamental task in computer vision. Object classification involves identifying and categorizing objects within digital images or videos. By leveraging machine learning and deep learning techniques, we aim to create a robust and accurate classification model capable of recognizing various objects with high precision.
- Image Classification: The system will be able to classify objects present in images accurately.
- Deep Learning: Utilizing state-of-the-art deep learning architectures for effective feature extraction and classification.
- Scalability: Designing the system to scale efficiently to handle large datasets and real-time classification tasks.
- Accuracy: Striving for high accuracy in object classification results through rigorous training and evaluation processes.
src/: Contains the source code for the object classification system.data/: Directory for storing datasets used for training and testing.docs/: Documentation files related to the project with the project landing page.models/: Pre-trained models or model checkpoints used in the project.
- Link - Demo link of the highest accuracy classifier (SVM Classifier).
- The above stated link is only accessible over the local institute network as it is hosted locally, it the above stated link appears unaccessible over the local network it means that the server has been shut down, we can rerun it upon request.