Hotdog | Not Hotdog

The Hot Dog / Not Hot Dog Dataset is a curated collection of images designed for use in a binary classification model. The inspiration for this dataset comes from the famous Silicon Valley TV show, specifically the memorable “Not Hotdog” app in Season 4, Episode 4. The dataset is divided into two classes: Hot Dog and Not Hot Dog—perfect for training machine learning models to distinguish between these two categories.

Key Features of the Dataset:

• Two Classes: The dataset consists of images labeled as Hot Dog and Not Hot Dog, designed to be used for binary classification tasks.
• Curated Images: A combination of images sourced from various Kaggle datasets, ensuring diversity and real-world applicability for image recognition tasks.
• Ideal for Binary Classification Models: This dataset is tailored for machine learning projects focused on building image classifiers that can distinguish between Hot Dogs and Non-Hot Dogs.