To evaluate the model's ability to interpret facial features, including attributes such as emotion, age, gender, ethnicity, and user count, we employed the Face Task Bench, a benchmark comprising 1,200 entries.
The benchmark covers six distinct tasks related to facial feature analysis, including emotion and age prediction.
Each task consists of 200 diverse entries, ensuring a robust dataset for assessing the model’s capacity to… See the full description on the dataset page:
https://huggingface.co/datasets/ACIDE/user-vlm-face-bench.
