FaceFace Computer Vision Model
How to use the FaceFace Segmentation API
Try This Model
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Model type: Roboflow RF-DETR Instance Segmentation (Small)
Dataset: faceface-dt7oa/3 (376 images)
May 26, 2026
Code Snippets
from inference_sdk import InferenceHTTPClient
CLIENT = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="faceface-dt7oa/3")Give your agent everything it needs
Or, Use Free Face, Mouth and Eyebrows Detection API
Powered by general detection model
Code
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "face, mouth, eyebrows, eyes"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Detecting classes:
Or try a test image
About FaceFace Model
This Project Build to do segmentation face, like do segment to eyes, nose etc
Roboflow Agent
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ faceface-dt7oa_dataset,
title = { FaceFace Dataset },
type = { Open Source Dataset },
author = { Collin Yee },
howpublished = { \url{ https://universe.roboflow.com/collin-yee/faceface-dt7oa } },
url = { https://universe.roboflow.com/collin-yee/faceface-dt7oa },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2026 },
month = { may },
note = { visited on 2026-07-29 },
}