datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
emonet-face-big
EmoNet-Face: A Fine-Grained, Expert-Annotated Benchmark for Facial Emotion Recognition
Dataset Summary
EmoNet-Face is a comprehensive benchmark suite designed to address critical gaps in facial emotion recognition (FER). Current benchmarks often have a narrow emotional spectrum, lack demographic diversity, and use uncontrolled imagery. EmoNet-Face provides a robust foundation for developing and evaluating AI systems with a deeper, more nuanced understanding of human… See the full description on the dataset page: https://huggingface.co/datasets/laion/emonet-face-big.EmoArt-130k
EmoArt: A Large-Scale Emotion-Annotated Artistic Dataset
Overview
EmoArt is a comprehensive, large-scale emotion-annotated artistic dataset containing 132,664 high-resolution artworks spanning 56 painting styles across 7 thematic categories. This dataset bridges the gap between visual art and emotional computing, enabling groundbreaking research in emotion-aware AI systems.
Key Statistics
📊 132,664 artworks with rich emotional annotations
🎨 56 distinct… See the full description on the dataset page: https://huggingface.co/datasets/printblue/EmoArt-130k.emotion_bias
Emotion Bias in Synthetic Face Generation
Description
This dataset accompanies the paper "Happy Young Women, Grumpy Old Men? Emotion Prompts as Demographic Selectors in AI Image Generation".
It contains 56,000 synthetic face images generated by eight state-of-the-art text-to-image (T2I) models across seven emotion prompt conditions, along with demographic attribute annotations (gender, race, age) and perceived attractiveness labels for each image.
The dataset is designed… See the full description on the dataset page: https://huggingface.co/datasets/mengtingwei/emotion_bias.EmoticEmoArt-130k
EmoArt: A Large-Scale Emotion-Annotated Artistic Dataset
Overview
EmoArt is a comprehensive, large-scale emotion-annotated artistic dataset containing 132,664 high-resolution artworks spanning 56 painting styles across 7 thematic categories. This dataset bridges the gap between visual art and emotional computing, enabling groundbreaking research in emotion-aware AI systems.
Key Statistics
📊 132,664 artworks with rich emotional annotations
🎨 56 distinct… See the full description on the dataset page: https://huggingface.co/datasets/SlowQZK123/EmoArt-130k.EmoArt-130k
EmoArt: A Large-Scale Emotion-Annotated Artistic Dataset
Overview
EmoArt is a comprehensive, large-scale emotion-annotated artistic dataset containing 132,664 high-resolution artworks spanning 56 painting styles across 7 thematic categories. This dataset bridges the gap between visual art and emotional computing, enabling groundbreaking research in emotion-aware AI systems.
Key Statistics
📊 132,664 artworks with rich emotional annotations
🎨 56 distinct… See the full description on the dataset page: https://huggingface.co/datasets/m6fras/EmoArt-130k.