Impact of Image Resolution on Age Estimation with DeepFace and InsightFace

Shiyar Jamo
11/18/2025
cs.CVcs.AI

No official code found. Best implementation: codershiyar/impact-of-image-resolution-on-age-estimation-deepface-insightface (1 star, last commit 2025-11-19).

Abstract

Automatic age estimation is widely used for age verification, where input images often vary considerably in resolution. This study evaluates the effect of image resolution on age estimation accuracy using DeepFace and InsightFace. A total of 1000 images from the IMDB-Clean dataset were processed in seven resolutions, resulting in 7000 test samples. Performance was evaluated using Mean Absolute Error (MAE), Standard Deviation (SD), and Median Absolute Error (MedAE). Based on this study, we conclude that input image resolution has a clear and consistent impact on the accuracy of age estimation in both DeepFace and InsightFace. Both frameworks achieve optimal performance at 224x224 pixels, with an MAE of 10.83 years (DeepFace) and 7.46 years (InsightFace). At low resolutions, MAE increases substantially, while very high resolutions also degrade accuracy. InsightFace is consistently faster than DeepFace across all resolutions.

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Code Implementations(1)

codershiyar/impact-of-image-resolution-on-age-estimation-deepface-insightfaceCommunity74%

Study on the impact of image resolution on AI-based age estimation using DeepFace and InsightFace.

11Jupyter NotebookOct 18, 202511 months ago
age-estimationarcfacearcface-face-recognitioncnncolab+13 more

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Cite this paper

@article{jamo2025impact,
  title  = {Impact of Image Resolution on Age Estimation with DeepFace and InsightFace},
  author = {Shiyar Jamo},
  year   = {2025},
  eprint = {2511.14689},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2511.14689v1}
}

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