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    Models/Image Classification/builtbyd3v/spot-wetfloor-convnext-tiny
    Image Classificationtransformerscc-by-4.0

    spot-wetfloor-convnext-tiny

    by builtbyd3v

    Identifier
    Model ID
    builtbyd3v/spot-wetfloor-convnext-tiny

    Deploy spot-wetfloor-convnext-tiny

    Single-tenant

    Mixpeek has no managed extractor for this model. On a single-tenant deployment you upload the weights and a custom plugin serves them next to the rest of your pipeline.

    Tags

    transformersonnxsafetensorsconvnextimage-classificationwet-floorstanding-waterroboticssafetytransformers.jsbase_model:facebook/convnext-tiny-224base_model:quantized:facebook/convnext-tiny-224license:cc-by-4.0endpoints_compatibleregion:us

    Use spot-wetfloor-convnext-tiny on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, spot-wetfloor-convnext-tiny runs as a managed extractor inside a processing pipeline. Point a bucket of image 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.