ModelPublicadoExterno

F2 Face Detector Onnx

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

Fuentehuggingface.co/HammadNaseer/f2-face-detector-onnx/tree/71bda6534a857ba16b35cbd67dfa88d0bf8ff76a

TipoOtherVersiónRevision 71bda65Bcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 2,26 MB
Versión: vRevision 71bda65
Actualizado: 10 oct 2026
Descargas: 8
Fuente: Hugging Face

Descripción de la fuente

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.

Fuentes

1 fuente

Hugging FacePrincipalVersión 71bda6534a857ba16b35cbd67dfa88d0bf8ff76a

huggingface.co/HammadNaseer/f2-face-detector-onnx/tree/71bda6534a857ba16b35cbd67dfa88d0bf8ff76a

Verificado 10 oct

Artefactos del modelo

1 artefacto

f2.onnx

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

Download file

Extractos de fuentes

3 extractos

Readme1 agohuggingface.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 octhuggingface.co/HammadNaseer/f2-face-detector-onnx

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

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

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