Video Inference

Roboflow's Hosted Video Inference method is designed for processing stored video files over the internet using an asynchronous API, which supports various models, including foundation models like CLIP and custom or community-shared models from Roboflow Universe. The API allows users to upload videos, request inferences on selected models, and poll for results, offering a cost-effective solution for video processing compared to real-time streaming, thanks to its efficient GPU batching and latency tolerance. It supports multiple model types for tasks such as object detection, classification, and segmentation, and is applicable in numerous use cases like video tagging, moderation, and media indexing. Videos are cached for a week to facilitate reprocessing without re-uploading and are permanently deleted afterward, with supported file formats including mp4, avi, mkv, and webm.

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