Datasets › LVVO
LVVO (Lecture Video Visual Objects)
The Lecture Video Visual Objects (LVVO) dataset is a benchmark designed for object detection in lecture video frames. It provides high-quality annotations of visual content such as tables, charts, images, and illustrations in real university lecture recordings. Provide:
📚 Dataset Overview
- Total Images: 4,000 unique frames extracted from lecture videos
- Manually Annotated Subset (LVVO 1k): 1,000 frames
- Automatically Labeled Subset (LVVO 3k): 3,000 frames
- Source: Lecture recordings from videopoints.org, covering 8 instructors across 13 courses and 3 domains (Biology, Computer Science, Geoscience
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- LVVO
1 variant name, as the archive lists them.
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