VisionTuner is a comprehensive platform for fine-tuning object detection and classification models, designed to empower users with seamless model training and deployment capabilities. With its intuitive interface and robust features, VisionTuner facilitates efficient management of projects, enabling users to customize and optimize machine learning models to their specific requirements.
Project Management: Easily create and manage projects, providing essential details and uploading annotated images for model training.
Model Training: Initiate model training with customizable options such as training duration, batch size, and optimization algorithms.
Download Trained Models: Access trained models in various formats (e.g., TensorFlow SavedModel, PyTorch model, ONNX model) for further use in applications.
Training Logs and Metrics: Evaluate model performance with detailed training logs and performance metrics, including loss, accuracy, and validation scores.
FrontEnd : Next.Js , Typescript
Backend : Node.Js
Database : Mongodb
Machine Learning Libraries: OpenCv, Pillow, Flask, Ultralytics, Tensorflow
Other libraries and Frameworks : AntDesign , mongoose, Express , JWT , multer
- Installation: Clone the VisionTuner repository to your local machine.
$ git clone https://github.com/AjayMaheshwari23/visionTuner.git
- Setup: Install dependencies and configure environment variables as needed.
$ cd VisionTuner
$ npm install- Run: Start the development server to launch the VisionTuner platform.
$ npm run dev
- Access: Open your web browser and navigate to http://localhost:3000 to access the VisionTuner platform.
Check out the live demo here, or see the screenshots below:
- Ajay Maheswari
- Mahek Jain
- Lokesh Dandamudi
- Sahil pandey
- Narendra Kumar
We welcome contributions from the community to enhance and improve VisionTuner. Please feel free to submit bug reports, feature requests, or pull requests via GitHub.
FrontEnd : Next.Js , Typescript
Backend : Node.Js
Database : Mongodb
Machine Learning Libraries: OpenCv, Pillow, Flask, Ultralytics, Tensorflow
Other libraries and Frameworks : AntDesign , mongoose, Express , JWT , multer