alt.freeweights.vision / rtdetr_r18vd_coco_o365
From: onnx-community <huggingface.co/onnx-community>Newsgroups: alt.freeweights.visionSubject:

rtdetr_r18vd_coco_o365

Date: 2026-11-15Commit: 37122d8Signed: 2DC28CC7B26A283B ✓

Object detection model. Onnx weights, 321 MB in all. Published by onnx-community under Apache-2.0.

vision321MBrtdetr_r18vd_coco_o365onnxpermissive
FactsParamsnot statedSize321 MBFormatsonnxTaskobject detectionLicenseApache-2.0From sourcepermissive
$ fw get onnx-community/rtdetr_r18vd_coco_o365
# manifest sha256 2bebde18697d… · 321 MB · 12 files
$ fw verify ./rtdetr_r18vd_coco_o365 onnx-community/rtdetr_r18vd_coco_o365
From sourceHosted (signed)onnx-community/rtdetr_r18vd_coco_o365Last check: 2026-11-15 05:21 UTC

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

Quantized of rtdetr_r18vd_coco_o365.

Works with

Runs with

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

Convert with

Scan with

Overview

Size
321 MB
Weights
21.7 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_r18vd_coco_o365

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 05:21 UTCpassed

Model card

From the publisher at commit 37122d8. Shown as plain text with links; images open at the publisher.

https://huggingface.co/PekingU/rtdetr_r18vd_coco_o365 with ONNX weights to be compatible with Transformers.js.

Usage (Transformers.js)#

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

npm i @huggingface/transformers

Example: Perform object-detection with onnx-community/rtdetr_r18vd_coco_o365.

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

const detector = await pipeline('object-detection', 'onnx-community/rtdetr_r18vd_coco_o365');

const img = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';
const output = await detector(img, { threshold: 0.8 });

See example output

[
  {
    score: 0.9812611937522888,
    label: 'cat',
    box: { xmin: 10, ymin: 55, xmax: 316, ymax: 471 }
  },
  {
    score: 0.9653043746948242,
    label: 'remote',
    box: { xmin: 40, ymin: 73, xmax: 175, ymax: 117 }
  },
  {
    score: 0.9768251776695251,
    label: 'cat',
    box: { xmin: 344, ymin: 25, xmax: 640, ymax: 372 }
  },
  {
    score: 0.8878865242004395,
    label: 'remote',
    box: { xmin: 333, ymin: 76, xmax: 370, ymax: 187 }
  },
  {
    score: 0.9277128577232361,
    label: 'sofa',
    box: { xmin: 0, ymin: -1, xmax: 640, ymax: 478 }
  }
]

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 · 321 MBWeights 21.7 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.md1.88 KB5403e158d5b900fe72a88a0554fc0fd9756f2018c69ac7a637e777f6ff1c0292
config.json5.30 KB93da70a20abe1f6c355dc5b9dd27c9eb8ad044c3b8159c7458141a899f488e71
onnx/model.onnx82.6 MB6c74a62251534f427294342508a162a7cd142418b4dd6222d0d0198851724bfa
onnx/model_bnb4.onnx66.0 MBf0407886307d6561d48590031377b158f92b1ad64db2faa8689e6d2cd846e1b6
onnx/model_fp16.onnx41.4 MB540c30402fb56fdbc1b2c6256b981d53b47d103b256474cf617bf6e9b3e321f8
onnx/model_int8.onnx21.7 MB80b228be9f662702d3436f87b3b54334ec0622825da20d67a08bb089dc67bb5c
onnx/model_q4.onnx66.3 MB3855f60797587d93675753b2f61058dcd84698e4fe2e37ceb35230fecfbd59de
onnx/model_quantized.onnx21.7 MB957de245529a3283a178057e0f71b36abfc6b6561dc38af5a11583884697cf58
onnx/model_uint8.onnx21.7 MB957de245529a3283a178057e0f71b36abfc6b6561dc38af5a11583884697cf58
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
37122d8b9b pinned now2026-11-15 05:21 UTC12 files · 321 MB

Use it

$ fw get onnx-community/rtdetr_r18vd_coco_o365
# manifest sha256 2bebde18697d… · 321 MB · 12 files
$ fw verify ./rtdetr_r18vd_coco_o365 onnx-community/rtdetr_r18vd_coco_o365
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_r18vd_coco_o365.json --dir ./rtdetr_r18vd_coco_o365 $ python3 fw.py verify ./rtdetr_r18vd_coco_o365 ./onnx-community__rtdetr_r18vd_coco_o365.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download onnx-community/rtdetr_r18vd_coco_o365 --revision 37122d8b9b89eb8384fba4d688d05051eaf7bb78 --local-dir ./rtdetr_r18vd_coco_o365

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_r18vd_coco_o365: the strictest license along the lineage applies. 2026-11-15
Text in
README.md
Text sha256
5403e158d5b900fe72a88a0554fc0fd9756f2018c69ac7a637e777f6ff1c0292
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_r18vd_coco_o365Date: 2026-11-15Commit: 37122d8Signed: 2DC28CC7B26A283B ✓
Upstream
onnx-community/rtdetr_r18vd_coco_o365
Pinned commit
37122d8b9b89eb8384fba4d688d05051eaf7bb78
Manifest
rtdetr_r18vd_coco_o365.json · .minisig
Manifest sha256
2bebde18697d7179256a14e6f0c1890e7cb06affb4db4524d4a25fbb449d7a26
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 05:21 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/onnx-community/rtdetr_r18vd_coco_o365.json $ curl -O https://freeweights.allternit.com/manifests/onnx-community/rtdetr_r18vd_coco_o365.json.minisig $ minisign -Vm rtdetr_r18vd_coco_o365.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_r18vd_coco_o365 · 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_r18vd_coco_o365
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. rtdetr_r18vd_coco_o365.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