mlsanityData to 7 Oct 2026

SCB-Dataset: A Dataset for Detecting Student and Teacher Classroom Behavior

arXiv 2304.02488 ↗First posted 5 Apr 2023cs.CVcited by 1

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Abstract (arXiv)

Using deep learning methods to detect the classroom behaviors of both students and teachers is an effective way to automatically analyze classroom performance and enhance teaching effectiveness. Then, there is still a scarcity of publicly available high-quality datasets on student-teacher behaviors. We constructed SCB-Dataset a comprehensive dataset of student and teacher classroom behaviors covering 19 classes. SCB-Dataset is divided into two types: Object Detection and Image Classification. The Object Detection part includes 13,330 images and 122,977 labels, and the Image Classification part includes 21,019 images. We conducted benchmark tests on SCB-Dataset using YOLO series algorithms and Large vision-language model. We believe that SCB-Dataset can provide a solid foundation for future applications of artificial intelligence in education. Code:https://github.com/Whiffe/SCB-dataset

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 21 of its 50 references that are in the map. First posted on arXiv 5 Apr 2023.

Builds on

21 of 50 references.

References · 21

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9 more
  1. 2017AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actionscited by 449
  2. 2019VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Researchcited by 412
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

Similar, not cited

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  1. 2026Zero-Shot Vision-Language Models for Classroom Engagement Recognition: A Benchmark Study of Prompt Sensitivity and Cross-Dataset Generalization
  2. 2025Exploring Automated Recognition of Instructional Activity and Discourse from Multimodal Classroom Data
  3. 2026Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing and LLM Sequence Classification
  4. 2026Can LLMs Reason About Attention? Towards Zero-Shot Analysis of Multimodal Classroom Behavior
  5. 2026Teacher-Guided Student Self-Knowledge Distillation Using Diffusion Model
  6. 2025Using Vision Language Models to Detect Students' Academic Emotion through Facial Expressions
  7. 2026VISTA: Dense Multi-Label Classroom Coding with Vision-Language Models
  8. 2024Leveraging Language Models for Emotion and Behavior Analysis in Education