Intel Image Classification

Intel Image Classification involves a dataset containing around 25,000 images of natural scenes, categorized into six classes: buildings, forest, glacier, mountain, sea, and street. The model is pre-trained to classify images based on these categories.

Please remember to double-check important information for accuracy.