alt.freeweights.vision / rtdetr_r50vd
From: onnx-community <huggingface.co/onnx-community>Newsgroups: alt.freeweights.visionSubject:

rtdetr_r50vd

Date: 2026-11-15Commit: b526659Signed: 2DC28CC7B26A283B ✓

Object detection model. Onnx weights, 692 MB in all. Published by onnx-community under Apache-2.0.

vision692MBrtdetr_r50vdonnxpermissive
FactsParamsnot statedSize692 MBFormatsonnxTaskobject detectionLicenseApache-2.0From sourcepermissive
$ fw get onnx-community/rtdetr_r50vd
# manifest sha256 a774a39d5761… · 692 MB · 12 files
$ fw verify ./rtdetr_r50vd onnx-community/rtdetr_r50vd
From sourceHosted (signed)onnx-community/rtdetr_r50vdLast check: 2026-11-15 05:14 UTC

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Quantized of rtdetr_r50vd.

Works with

Runs with

Ranked by fit to this model (onnx), then by GitHub stars.

Convert with

Scan with

Overview

Size
692 MB
Weights
45.5 MB (smallest of 7 ONNX variants)
Parameters
not stated
Formats
onnx
Task
object detection
License
Apache-2.0 (permissive)
Files
12, each with a sha256
Publisher
onnx-community
Added
2026-11-15
Section
alt.freeweights.vision
Lineage

Original release from the publisher.

Base model: PekingU/rtdetr_r50vd

Where these bytes come from
Publisher at the pinned commit→You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-15 05:14 UTCpassed

Model card

From the publisher at commit b526659. Shown as plain text with links; images open at the publisher.

https://huggingface.co/PekingU/rtdetr_r50vd with ONNX weights to be compatible with Transformers.js.

Usage (Transformers.js)#

Important. NOTE: RT-DETR support is experimental and requires you to install Transformers.js v3 from source.

If you haven't already, you can install the Transformers.js JavaScript library from GitHub using:

npm install xenova/transformers.js#v3

Example: Perform object-detection with onnx-community/rtdetr_r50vd.

import { pipeline } from '@xenova/transformers';

const detector = await pipeline('object-detection', 'onnx-community/rtdetr_r50vd');

const img = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';
const output = await detector(img, { threshold: 0.9 });
// [{
//   score: 0.9720445871353149,
//   label: 'cat',
//   box: { xmin: 14, ymin: 54, xmax: 319, ymax: 472 }
// },
// ...
// {
//   score: 0.9795005917549133,
//   label: 'sofa',
//   box: { xmin: 0, ymin: 0, xmax: 640, ymax: 472 }
// }]

Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).

Files

12 files · 692 MBWeights 45.5 MB (smallest of 7 ONNX variants). Sizes and sha256 from the signed manifest.
Hide all 12 files with their sha256
FileSizesha256
.gitattributes1.52 KB11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
README.md1.60 KB0e05af5039ccec2f43cbfcad70acfe5131ba39329fe96efee06f24396296b630
config.json5.14 KBb0c565bfc6c1e88f8a8ff57a309e213758447e9402080ea3fc1e0b71c7d242a2
onnx/model.onnx175 MBb1a6aa26c56b7838b02c2b5fa66d312deee1295095ea5e85f5679a6f41eee855
onnx/model_bnb4.onnx146 MB757017ca7f3a6ecf5d5d4e4a93490fa731222d4039628afa299c601e2b5ec44c
onnx/model_fp16.onnx88.0 MBe24be2e97f9d74d286252590034f6106d1e6aaa5370c977b0bd5a93eb99f986d
onnx/model_int8.onnx45.5 MBd52595ca2d74b3704e28f24a77823c049a2a20d8cd7935f933c7d9407f722b33
onnx/model_q4.onnx146 MB32113df12215d633d6af05c75a4c9778788a28dbf73e9ef8cea3a9ff32f905a6
onnx/model_quantized.onnx45.5 MB0d24ff05f00509f63d8eb374666cbd6be24eeaffc3148ea076ce464d12971b14
onnx/model_uint8.onnx45.5 MB0d24ff05f00509f63d8eb374666cbd6be24eeaffc3148ea076ce464d12971b14
preprocessor_config.json444 Bcd38cd59999e7a95d68e487fbe5132df3d4e5c32a0836add57e6126ba0c4eaf1
quantize_config.json3.81 KB530fb950fabfff1c567ac09d2ee89e2f0d528333d9594e9264d7a10169a37090
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
b5266597ef pinned now2026-11-15 05:14 UTC12 files · 692 MB

Use it

$ fw get onnx-community/rtdetr_r50vd
# manifest sha256 a774a39d5761… · 692 MB · 12 files
$ fw verify ./rtdetr_r50vd onnx-community/rtdetr_r50vd
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/onnx-community/rtdetr_r50vd.json --dir ./rtdetr_r50vd $ python3 fw.py verify ./rtdetr_r50vd ./onnx-community__rtdetr_r50vd.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download onnx-community/rtdetr_r50vd --revision b5266597ef253407995497df94da34f244bbec05 --local-dir ./rtdetr_r50vd

License

Name
Apache License 2.0
Id
Apache-2.0
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
Inherited from the base model PekingU/rtdetr_r50vd: the strictest license along the lineage applies. 2026-11-15
Text in
README.md
Text sha256
0e05af5039ccec2f43cbfcad70acfe5131ba39329fe96efee06f24396296b630
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: onnx-community <huggingface.co/onnx-community>Newsgroups: alt.freeweights.visionSubject: rtdetr_r50vdDate: 2026-11-15Commit: b526659Signed: 2DC28CC7B26A283B ✓
Upstream
onnx-community/rtdetr_r50vd
Pinned commit
b5266597ef253407995497df94da34f244bbec05
Manifest
rtdetr_r50vd.json · .minisig
Manifest sha256
a774a39d5761939af7467ff0b2e43ed8b7647d3eb4b0ae0c0e1fde7a7be4a94e
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 05:14 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/onnx-community/rtdetr_r50vd.json $ curl -O https://freeweights.allternit.com/manifests/onnx-community/rtdetr_r50vd.json.minisig $ minisign -Vm rtdetr_r50vd.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

Parent

PekingU/rtdetr_r50vd · this model is a quantization of it

No model in the catalog names this one as its parent.

Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download onnx-community/rtdetr_r50vd
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. rtdetr_r50vd.json. Provenance. Takedown history: none.
From: dima806 <huggingface.co/dima806>Subject: ai_vs_real_image_detection
From: legekka <huggingface.co/legekka>Subject: AI-Anime-Image-Detector-ViT
From: onnx-community <huggingface.co/onnx-community>Subject: AI-Anime-Image-Detector-ViT-ONNX
From: AICodexLab <huggingface.co/AICodexLab>Subject: answerdotai-ModernBERT-base-ai-detector
From: onnx-community <huggingface.co/onnx-community>Subject: answerdotai-ModernBERT-base-ai-detector-ONNX
From: onnx-community <huggingface.co/onnx-community>Subject: bart-large-cnn-ONNX