ML Playground Dashboard

What is ML Playground Dashboard ?

ML Playground Dashboard is an interactive Gradio app designed to help users explore machine learning models for various tasks, including detecting harmful or offensive content in images. This dashboard provides a user-friendly interface where you can interact with different ML models, experiment with inputs, and visualize outputs in real time. It is a perfect tool for both beginners and developers looking to prototype and test ML models efficiently.

Features

• Image Content Detection: Identify harmful or offensive content within images using pre-trained models. • Multiple Model Support: Experiment with different machine learning models for text, images, and speech. • Interactive Demos: Test models with sample inputs or upload your own data for experimentation. • Real-Time Results: Get immediate feedback and visualizations for your inputs. • User-Friendly Interface: Intuitive design that makes it easy to navigate and use even for non-experts.

How to use ML Playground Dashboard ?

1. Access the Dashboard: Open the ML Playground Dashboard via the Gradio interface.
2. Select Model Type: Choose the type of model you want to use (e.g., image, text, or speech).
3. Upload Input: Upload your image, input text, or provide speech input to the selected model.
4. Run the Model: Click the "Run" button to process your input through the model.
5. View Results: Review the output generated by the model, which may include predictions, classifications, or visualizations.

Frequently Asked Questions

What types of models are available on ML Playground Dashboard?
The dashboard supports image-based models for harmful content detection, as well as models for text analysis and speech processing. You can experiment with different models depending on your use case.

Can I upload custom images or text for testing?
Yes, you can upload your own images or input custom text to test the models. This feature allows you to see how the models perform with your specific data.

How do I interpret the results from the dashboard?
The results are displayed in a user-friendly format, with clear visualizations and classifications. For image models, you'll see predictions about the content, while text models may provide sentiment analysis or other relevant outputs.