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    Models/Detection & Recognition/Roboflow/rf-detr-medium
    HFObject Detectionapache-2.0

    rf-detr-medium

    by Roboflow

    Balanced real-time detection transformer for object metadata pipelines

    627dl/month
    4likes
    34Mparams
    Identifiers
    Model ID
    Roboflow/rf-detr-medium
    Feature URI
    mixpeek://image_extractor@v1/roboflow_rf_detr_medium_v1

    Overview

    RF-DETR Medium is the balanced checkpoint in Roboflow's real-time detection transformer family. It keeps the DETR-style end-to-end detection formulation while reducing the footprint compared with the Large model.

    On Mixpeek, RF-DETR Medium is a practical default for high-volume video and image pipelines where agents need object metadata for filtering, counting, and follow-up visual inspection without paying for the largest detector on every frame.

    Architecture

    Detection transformer with a ViT-style backbone, multi-scale projection, deformable cross-attention decoder, and DETR-style object queries. The medium checkpoint targets the throughput-quality middle ground.

    Mixpeek SDK Integration

    import { Mixpeek } from "mixpeek";
    const mx = new Mixpeek({ apiKey: "API_KEY" });
    await mx.collections.ingest({
    collection_id: "warehouse-video",
    source: { url: "s3://warehouse/camera-01.mp4" },
    feature_extractors: [{
    feature: "object_detection",
    model: "Roboflow/rf-detr-medium"
    }]
    });

    Capabilities

    • COCO-style object detection
    • Transformer-based boxes without anchors
    • Balanced latency and quality for production frame pipelines
    • Apache 2.0 license

    Use Cases on Mixpeek

    High-volume video frame object indexing
    Agent filters such as person, vehicle, package, or equipment present
    Retail shelf and warehouse monitoring
    Detection metadata before clip-level retrieval

    Specification

    FrameworkHF
    OrganizationRoboflow
    FeatureObject Detection
    Outputbbox + label
    Modalitiesvideo, image
    RetrieverObject Filter
    Parameters34M
    Licenseapache-2.0
    Downloads/mo627
    Likes4

    Research Paper

    RF-DETR Medium

    arxiv.org

    Build a pipeline with rf-detr-medium

    Add this model to a processing pipeline alongside other extractors. Combine with retrieval stages for end-to-end search.

    Open Studio