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    Models/Object Detection/guddls2/furniture_use_data_full_finetuning
    Object Detectiontransformersapache-2.0

    furniture_use_data_full_finetuning

    by guddls2

    Identifier
    Model ID
    guddls2/furniture_use_data_full_finetuning

    Tags

    transformerstensorboardsafetensorsdetrobject-detectiongenerated_from_trainerbase_model:facebook/detr-resnet-50base_model:finetune:facebook/detr-resnet-50license:apache-2.0endpoints_compatibleregion:us

    Use furniture_use_data_full_finetuning 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, furniture_use_data_full_finetuning runs as a managed extractor inside a processing pipeline. Point a bucket of object detection 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.