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    Models/Video Classification/jatinmehra/Accident-Detection-using-Dashcam
    Video Classificationtransformersmit

    Accident-Detection-using-Dashcam

    by jatinmehra

    Identifier
    Model ID
    jatinmehra/Accident-Detection-using-Dashcam

    Tags

    transformerssafetensorsvideomaevideo-classificationvisiondataset:nexar-ai/nexar_collision_predictionarxiv:2503.03848base_model:MCG-NJU/videomae-large-finetuned-kineticsbase_model:finetune:MCG-NJU/videomae-large-finetuned-kineticslicense:mitendpoints_compatibleregion:us

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    How It Runs on Mixpeek

    On Mixpeek, Accident-Detection-using-Dashcam runs as a managed extractor inside a processing pipeline. Point a bucket of video classification data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.