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 DetectionPapers
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