NEWVectors or files. Pick a path.Start →
    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

    747dl/month
    6likes
    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" });
    
    // Managed: create a collection over a bucket; Mixpeek runs this model's extractor
    const collection = await mx.collections.create({
      namespace_id: "my-namespace",
      collection_name: "my-collection",
      source: { type: "bucket", bucket_ids: ["bkt_your_bucket"] },
      feature_extractor: {
        feature_extractor_name: "object_detection",
        version: "v1",
        parameters: { model_id: "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/mo747
    Likes6

    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.

    Run on your data, free