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    Runs as a custom pluginDetectionVerified 2026-11-05

    RF-DETR Base

    Roboflow/rf-detr-base

    RF-DETR Base is a image object detection model (Apache-2.0). Can run on Mixpeek as a custom plugin.

    Mixpeek does not run it today. It can run as a custom plugin: the weights load without remote code.

    No demo for RF-DETR Base yet

    A video, image, slideshow or playground goes here once we record one on our own data.

    What it is good and bad at

    Best at
    DINOv2-backbone real-time detector that fine-tunes well on small custom datasets (RF100-VL); Nano to Large are Apache-2.0.
    Worst at
    XL and 2XL sizes are under Roboflow's PML 1.0, not Apache; check the transformers version supports the architecture.
    Task
    Detection
    Input
    Image
    Output
    Boxes, Labels, Scores
    Use cases
    Object detection

    Templates that use it

    No template uses this model yet. Browse templates.

    Input and output

    Input

    image
    resolution
    640x640
    color
    RGB
    prompts
    none (fixed classes)

    Output

    boxes
    xyxy pixels (post_process_object_detection)
    labels
    COCO 80 classes
    scores
    0..1

    How Mixpeek wires it

    Extractors
    None today
    Feature URIs
    None today
    Vector indexes
    None
    Retriever stages
    None
    Combines with
    • detector boxes -> crops -> SigLIP vectors per object (one document per object, or a multi-vector per frame)
    • labels -> payload field -> attribute filter in a retriever
    • scene splits -> keyframes -> detector -> object documents with frame timestamps

    How it runs

    Status
    Runs as a custom plugin Not served. Permissive alternative to Ultralytics YOLO. Would run as a custom extractor plugin loading safetensors with transformers (trust_remote_code false), emitting boxes, labels and crops.
    Serve apps
    None
    Runtime
    transformers (RF-DETR, library_name transformers on the hub) or the rfdetr package
    Weights
    safetensors, no remote code
    Parameters
    32 M
    Size on disk
    129 MB
    Preprocessing
    Resize to 640x640, rescale to 0..1 (image processor).
    Postprocessing
    Sigmoid class scores, top-k queries, threshold; no NMS (one-to-one matching).
    Serving
    both
    Hardware
    Runs on CPU (slower without a GPU)

    Scale to zero

    Minimum replicas
    0
    Maximum replicas
    1
    Idle timeout
    600 s
    Memory
    2 GB
    CPUs
    2
    GPUs
    0
    Cold start, node warm
    Not recorded
    Cold start, new node
    Not recorded

    Measured cost

    Unmeasured

    No committed measurement; plan row 3 measures it in the standalone image.

    Our evaluations

    Unmeasured

    We have not evaluated this model on our own data yet. Publisher results are in the sources below.

    Questions

    What is RF-DETR Base best at?
    DINOv2-backbone real-time detector that fine-tunes well on small custom datasets (RF100-VL); Nano to Large are Apache-2.0.
    What are the limits of RF-DETR Base?
    XL and 2XL sizes are under Roboflow's PML 1.0, not Apache; check the transformers version supports the architecture.
    Can RF-DETR Base be used commercially?
    Yes. Apache-2.0 weights and code; no use restrictions.
    How does RF-DETR Base run on Mixpeek?
    Not served. Permissive alternative to Ultralytics YOLO. Would run as a custom extractor plugin loading safetensors with transformers (trust_remote_code false), emitting boxes, labels and crops.