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F2 Face Detector Onnx

Lightweight face detector (f2.onnx) used to localize faces in the PULAO vision pipeline (faces feed the ArcFace embedding model).

Sourcehuggingface.co/HammadNaseer/f2-face-detector-onnx/tree/71bda6534a857ba16b35cbd67dfa88d0bf8ff76a
TypeOtherVersionRevision 71bda65BClasse

Source du modèle

Type
Other
Taille du fichier
2,26 MB
Version
vRevision 71bda65
Mis à jour
10 oct. 2026
Téléchargements
8
Source
Hugging Face

Description de la source

f2 — Face Detector (ONNX)

Lightweight face detector (f2.onnx) used to localize faces in the PULAO vision pipeline (faces feed the ArcFace embedding model).

⚠️ Provenance / license — UNVERIFIED. The origin of this model is unknown. It is a 2.4 MB detector exported to ONNX from PyTorch; the exact architecture, training data, and license could not be determined from the file. This repository is kept private until provenance is confirmed. Do not redistribute publicly without first establishing the license.

Files

  • f2.onnx — 2.4 MB
  • SHA-256: 15bcd6208f8959b28d07fd8488ec011368d666421eda9674d248f1d48d869ada

Inputs / outputs

  • Input input: float32 [1, 3, 320, 320] (letterboxed square, scaled 1/255, RGB in this pipeline).
  • Output: face-detection tensor; the pipeline reads [:, :4] boxes (xywh) and [:, 4] scores, then applies NMS.

Usage (onnxruntime)

import cv2, onnxruntime as ort
sess = ort.InferenceSession("f2.onnx", providers=["CPUExecutionProvider"])
blob = cv2.dnn.blobFromImage(img, 1/255, (320, 320), swapRB=True, crop=False)
out = sess.run(None, {"input": blob})[0]

Intended use

Face localization feeding ArcFace embedding. Research / prototype only.

Sources

1 source
Hugging FacePrincipalVersion 71bda6534a857ba16b35cbd67dfa88d0bf8ff76a
huggingface.co/HammadNaseer/f2-face-detector-onnx/tree/71bda6534a857ba16b35cbd67dfa88d0bf8ff76a

Vérifié 10 oct.

Artefacts du modèle

1 artefact

f2.onnx

onnx · 2,26 MB · SHA-256 15bcd6208f89…9ada · Hugging Face

Download file

Extraits de sources

3 extraits
Readme1 aoûthuggingface.co/HammadNaseer/f2-face-detector-onnx

--- license: unknown library_name: onnxruntime pipeline_tag: object-detection tags: - onnx - face-detection --- # f2 — Face Detector (ONNX) Lightweight face detector (`f2.onnx`) used to localize faces in the PULAO vision pipeline (faces feed the ArcFace embedding model). > ⚠️ **Provenance / license — UNVERIFIED.** The origin of this model is unknown. It is a 2.4 MB detector exported to ONNX from PyTorch; the exact architecture, training data, and license could **not** be determined from the file. This repository is kept **private** until provenance is confirmed. Do not redistribute publicly without first establishing the license. ## Files - `f2.onnx` — 2.4 MB - SHA-256: `15bcd6208f8959b28d07fd8488ec011368d666421eda9674d248f1d48d869ada` ## Inputs / outputs - **Input** `input`: float32 `[1, 3, 320, 320]` (letterboxed square, scaled `1/255`, RGB in this pipeline). - **Output**: face-detection tensor; the pipeline reads `[:, :4]` boxes (xywh) and `[:, 4]` scores, then applies NMS. ## Usage (onnxruntime) ```python import cv2, onnxruntime as ort sess = ort.InferenceSession("f2.onnx", providers=["CPUExecutionProvider"]) blob = cv2.dnn.blobFromImage(img, 1/255, (320, 320), swapRB=True, crop=False) out = sess.run(None, {"input": blob})[0] ``` ## Intended use Face localization feeding ArcFace embedding. Research / prototype only.

Note10 oct.huggingface.co/HammadNaseer/f2-face-detector-onnx

Source context: 8 downloads · 0 likes · Pipeline object-detection · Library onnxruntime · Repo HammadNaseer/f2-face-detector-onnx

Note1 aoûthuggingface.co/HammadNaseer/f2-face-detector-onnx

Source context: 24 downloads · 0 likes · Pipeline object-detection · Library onnxruntime · Repo HammadNaseer/f2-face-detector-onnx