MERChallenge/MER2023
π§ MER2023: Multimodal Emotion Recognition Challenge π― Introduction Multimodal emotion recognition has become a vital research area due to its widespread applications in human-computer interaction. With the rise of deep learning, the field has made significant progress over recent decades. However, several challenges still hinder its deployment in real-world scenarios: π§ͺ Labeling is costly: Annotating large-scale datasets is labor-intensive and expensive. πΆβ¦ See the full description on the dataset page: https://huggingface.co/datasets/MERChallenge/MER2023.
| Author / organization | MERChallenge |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 21 |
| Created | 18 April 2025 |
| Last updated at source | 8 November 2025 |
Popularity, last 2 days
1,313 now (-1,335 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: π§ MER2023: Multimodal Emotion Recognition Challenge π― Introduction Multimodal emotion recognition has become a vital research area due to its widespread applications in human-computer interaction. With the rise of deep learning, the field β π§ MER2023: Multimodal Emotion Recognition Challenge π― Introduction Multimodal emotion recognition has become a vital research area due to its widespread applications in human-computer interaction. With the rise of deep learning, the field
Changes detected by Silytics between refreshes of the source.
More from MERChallenge
- MERChallenge/MER2025Dataset
- MERChallenge/MER2026Dataset
- MERChallenge/MER2024Dataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.