manishkumart/Super-Rapid-Annotator-Multimodal-Annotation-Tool
This repository is part of the GSoC '24 project and demonstrates video annotation capabilities through the integration of a multimodal vision and language model with spatiotemporal analysis.
This tool helps researchers and analysts quickly review and categorize video content. You feed it raw video files, and it identifies and describes specific actions, objects, or settings within them, outputting structured annotations about what's happening. It's designed for anyone needing to extract precise, time-bound information from large volumes of video data.
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Use this if you need to rapidly annotate specific entities, actions, or contexts across many videos, like analyzing body posture or indoor/outdoor scenes, and want to leverage AI for efficiency.
Not ideal if your annotation task requires very nuanced or subjective interpretations that a model struggles with, such as highly complex human interactions or subtle emotional cues.
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Python
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Last pushed
Oct 23, 2024
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