rf-detr-large
by Roboflow
Real-time detection transformer with DINOv2-style visual features
Roboflow/rf-detr-largemixpeek://image_extractor@v1/roboflow_rf_detr_large_v1Overview
RF-DETR Large is a real-time detection transformer from Roboflow. It combines a ViT backbone, multi-scale feature fusion, and a deformable DETR-style decoder to produce object boxes without anchor heuristics.
On Mixpeek, RF-DETR Large adds a modern open object detector for pipelines that need high-quality bounding boxes before retrieval, filtering, or agent inspection.
Architecture
End-to-end detection transformer with a DINOv2-with-registers style ViT backbone, RF-DETR windowed attention, a multi-scale projector, deformable cross-attention decoder, and DETR-style object queries trained on COCO 2017.
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-large" },
},
});Capabilities
- Object detection over the COCO 2017 label space
- Transformer-based boxes without anchor design
- Multi-scale feature fusion for small and large objects
- Apache 2.0 license
Use Cases on Mixpeek
Performance
Use detection output as structured metadata for filters and joins
Common Pipeline Companions
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Specification
Research Paper
RF-DETR: Neural Architecture Search for Real-Time Detection Transformers
arxiv.orgBuild a pipeline with rf-detr-large
Add this model to a processing pipeline alongside other extractors. Combine with retrieval stages for end-to-end search.
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