Three-Class Turkish Food Image Dataset

A collection of labeled images for three distinct Turkish food categories: corba (soup), makarna (pasta), and donat (donut). The dataset is pre-split into training and validation subsets for machine learning workflows. Its origin, author, and creation date are not specified.

Use Cases

• Train a convolutional neural network to classify images into the three categories: corba, makarna, and donat.
• Benchmark model performance using the provided train/valid split on this specific 3-class food recognition problem.
• Fine-tune a pre-trained vision model on the distinct visual features of Turkish soup, pasta, and donut dishes.
• Use the image labels to evaluate model accuracy and confusion between the three food classes.

Strengths

• Contains images for three clearly defined food classes.
• Dataset is organized into ready-to-use training and validation splits.

Limitations

• The total number of images and samples per class are unknown, preventing assessment of scale or balance.
• Image resolution, collection method, and potential biases (lighting, background) are unspecified.

Provenance

Source

Kaggle

Geography

Imagery is of Turkish cuisine items (corba, makarna, donat), suggesting a potential Turkish origin.