CatalogWantedMirrorsLedgerOperating StatementDocsStudio statusCard system
alt.freeweights.vision / dfine_x_obj2coco-ONNX
From: onnx-community <huggingface.co/onnx-community>Newsgroups: alt.freeweights.visionSubject:

dfine_x_obj2coco-ONNX

Date: 2026-11-15Commit: 4d3a85aSigned: 2DC28CC7B26A283B ✓

Object detection model. Onnx weights, 1.11 GB in all. Published by onnx-community under Apache-2.0.

vision1.11GBdfine_x_obj2coco-ONNXonnxpermissive
FactsParamsnot statedSize1.11 GBFormatsonnxTaskobject detectionLicenseApache-2.0From sourcepermissive
$ fw get onnx-community/dfine_x_obj2coco-ONNX
# manifest sha256 581fc76474b0… · 1.11 GB · 12 files
$ fw verify ./dfine_x_obj2coco-ONNX onnx-community/dfine_x_obj2coco-ONNX
From sourceHosted (signed)onnx-community/dfine_x_obj2coco-ONNXLast check: 2026-11-15 05:22 UTC
Run at homeGet help

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

Quantized of dfine-xlarge-obj2coco.

Works with

Run2Convert3Scan1

Runs with

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

UltralyticsOpenVINO

Convert with

ONNXOptimumOlive

Scan with

ModelScan
OverviewModel cardFilesUse itLicenseProvenanceModel tree

Overview

Size
1.11 GB
Weights
64.5 MB (smallest of 8 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: ustc-community/dfine-xlarge-obj2coco

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 05:22 UTCpassed

Model card

From the publisher at commit 4d3a85a. Shown as plain text with links; images open at the publisher.

https://huggingface.co/ustc-community/dfine_x_obj2coco with ONNX weights to be compatible with Transformers.js.

Transformers.js#

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

npm i @huggingface/transformers

You can then use the model like this:

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

const detector = await pipeline("object-detection", "onnx-community/dfine_x_obj2coco-ONNX");

const image = "https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg";
const output = await detector(image, { threshold: 0.5 });
console.log(output);

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 · 1.11 GBWeights 64.5 MB (smallest of 8 ONNX variants). Sizes and sha256 from the signed manifest.
Hide all 12 files with their sha256
FileSizesha256
.gitattributes1.52 KB11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
README.md1.20 KB45f7a2b188cf868a551b23483e37866d75d29676a360879302a8cf56bee0d63f
config.json6.66 KBc3b580f1c68013a7c5737e0f2fdf6ddf3434cbb947b10d7388e0c5b652934317
onnx/model.onnx251 MB486ee1cba40b25f3ea8d6783f664eca88b7c12d01078984834d36834d9b2c802
onnx/model_bnb4.onnx215 MB2b965efc7fdd289b9ed3baccd8e17160f9b3b832aa3b72bfd06b65ef206354ba
onnx/model_fp16.onnx126 MBa0d904a9081d0856b2f6230607ebd3fe056cd144c9af6e6d7f0c43bb9777e4d0
onnx/model_int8.onnx64.5 MB1cdf7422974cba9035c9b8405b80d8db2eb5534e34566a77d5c4b90e5963b2cb
onnx/model_q4.onnx216 MBac0ae4ec6b323052187852438ba1ba6ea09ab837322954cee391e1618a5cddbc
onnx/model_q4f16.onnx111 MB072d0a5634d108ad48066e94b1af557964b1a6fd20da111e767cd31262eb789e
onnx/model_quantized.onnx64.5 MB70ac63b3ec40b327989262bec14bb23a270a8e068a76c66d41d422ebdec6c9bb
onnx/model_uint8.onnx64.5 MB70ac63b3ec40b327989262bec14bb23a270a8e068a76c66d41d422ebdec6c9bb
preprocessor_config.json444 Bcd38cd59999e7a95d68e487fbe5132df3d4e5c32a0836add57e6126ba0c4eaf1
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
4d3a85a6c2 pinned now2026-11-15 05:22 UTC12 files · 1.11 GB

Use it

$ fw get onnx-community/dfine_x_obj2coco-ONNX
# manifest sha256 581fc76474b0… · 1.11 GB · 12 files
$ fw verify ./dfine_x_obj2coco-ONNX onnx-community/dfine_x_obj2coco-ONNX
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/onnx-community/dfine_x_obj2coco-ONNX.json --dir ./dfine_x_obj2coco-ONNX $ python3 fw.py verify ./dfine_x_obj2coco-ONNX ./onnx-community__dfine_x_obj2coco-ONNX.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download onnx-community/dfine_x_obj2coco-ONNX --revision 4d3a85a6c29f55a5346fabaf9728f5f3751f947a --local-dir ./dfine_x_obj2coco-ONNX
Run at home

License

Name
Apache License 2.0
Id
Apache-2.0
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
Inherited from the base model ustc-community/dfine-xlarge-obj2coco: the strictest license along the lineage applies. 2026-11-15
Text in
README.md
Text sha256
45f7a2b188cf868a551b23483e37866d75d29676a360879302a8cf56bee0d63f
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: dfine_x_obj2coco-ONNXDate: 2026-11-15Commit: 4d3a85aSigned: 2DC28CC7B26A283B ✓
Upstream
onnx-community/dfine_x_obj2coco-ONNX
Pinned commit
4d3a85a6c29f55a5346fabaf9728f5f3751f947a
Manifest
dfine_x_obj2coco-ONNX.json · .minisig
Manifest sha256
581fc76474b0aa0a14916bbaf52868c8c4ab158e35388f37ea7ad363969fced5
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 05:22 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/onnx-community/dfine_x_obj2coco-ONNX.json $ curl -O https://freeweights.allternit.com/manifests/onnx-community/dfine_x_obj2coco-ONNX.json.minisig $ minisign -Vm dfine_x_obj2coco-ONNX.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

ustc-community/dfine-xlarge-obj2coco · 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/dfine_x_obj2coco-ONNX
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. dfine_x_obj2coco-ONNX.json. Provenance. Takedown history: none.
Source
huggingface.co/onnx-community/dfine_x_obj2coco-ONNX

Related models

All of alt.freeweights.vision →
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