fairface_age_image_detection

Model overview

fairface_age_image_detection is published by dima806 as an image-classification model. The captured configuration identifies ViTForImageClassification with a vit model type, and Safetensors metadata reports 85,805,577 parameters. According to the model card, it detects age group with about 59% accuracy.

Recorded capabilities

Use cases in the source record

• Age-group image classification for Fairface-style face images, as indicated by the dataset tag and the card's accuracy statement.
• Notebook-based reproduction using the publisher-linked Kaggle code reference, according to the model card.

Limitations and unknowns

• The reported 59% accuracy and classification report are publisher model-card claims without an extracted evaluation split or independent verification.
• No training dataset size, schedule, or hardware was extracted from this record.
• Provider state is historical snapshot data, not independently refreshed current availability.

Source and provenance

Source: dima806/fairface_age_image_detection

Captured: Unknown. Processed: 2026-09-07T19:34:43.606647+00:00.

Detects age group with about 59% accuracy based on an image. See https://www.kaggle.com/code/dima806/age-group-image-classification-vit for details. Classification report: precision recall f1-score support 0-2 0.7803 0.7500 0.7649 180 3-9 0.7998 0.7998 0.7998 1249 10-19 0.5361 0.4236 0.4733 1086 20-29 0.6402 0.7221 0.6787 3026 30-39 0.4935 0.5083 0.5008 2099 40-49 0.4848 0.4386 0.4606 1238 50-59 0.5000 0.4814 0.4905 725 60-69 0.4497 0.4685 0.4589 286 more than 70 0.6897 0.1802 0.2857 111 accuracy 0.5892 10000 macro avg 0.5971 0.5303 0.5459 10000 weighted avg 0.5863 0.5892 0.5844 10000