Strengths1
- Clear separation of model definition and interface code; use of Gradio for quick UI prototyping.
ML Application · Python
Foodvision-Mini
What it is
Foodvision Mini is a Gradio-based web application that uses a pretrained EfficientNetB2 model to classify food images into pizza, steak, or sushi categories. The repository provides the interface code and model definition but lacks the trained weights and example data required to run the application.
Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored
Where it counts
- Computer Vision80%
- Machine Learning50%
- Data Science10%
- MLOps10%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
What the judge found
Read from the project's code at its scored commit.
Limitations
The owner keeps this project's limitations private.
Around it on the Computer Vision board
Whole board- 14motion-detectorTutorial / Demo · Python30.5ExplorationPop AlexandruComputer Vision
- 15captcha-solver-cnnEducational Implementation · Python29.0ExplorationPop AlexandruComputer Vision
- 16Foodvision-MiniML Application · Python26.6Explorationkamran akmalComputer Vision
- 17Dazzle-Place-StudioTutorial / Demo · HTML15.4ExplorationQaasim-Falade AbdullahComputer Vision
