Detailed Explanation of Fréchet Inception Distance
FID Score (Fréchet Inception Distance) is the most widely used quality metric for objectively comparing generative models. Proposed in 2017, it quickly became the industry standard. Real and generated images are passed through the Inception-v3 network, and the statistical distributions of feature vectors are extracted for both image sets. The Fréchet distance between these two distributions is then computed.
In FID evaluation, lower scores indicate better quality: below 10 signifies extremely high quality, while 50-100 represents acceptable quality. Current generation models achieve FID values around 3-7. However, FID alone is not a sufficient metric; it does not measure dimensions such as diversity, prompt adherence, or aesthetic quality.
In practical use, FID serves as a reference for comparing the performance of different AI image generation tools. For example, to determine whether a model update has improved quality, FID scores before and after the update are compared. Tool quality scores on tasarim.ai consider objective metrics like FID, providing users with the most accurate comparison information available.