Datasets › FSVOD-500
FSVOD-500
FSVOD-500 is a large-scale video dataset comprising of 500 classes with class-balanced videos in each category for few-shot learning. FSVOD-500 is the first benchmark specially designed for few-shot video object detection for evaluating the performance of a given model on novel classes.
Source: Few-Shot Video Object Detection
Image source: Few-Shot Video Object Detection
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 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- FSVOD-500
1 variant name, as the archive lists them.
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