Faces Computer Vision Dataset
About Faces Dataset
Use this model to detect when faces appear and are exposed to the camera.
The dataset contains approx. 1,800 images sourced from a variety of environments such as: indoor, outdoor, large crowd, portrait, social media, security camera, etc.
Instances where a person is in the frame but the face is not visible (the person is “facing away”) are not annotated for training. We also included examples where faces are partially covered by sweaters, sunglasses, masks, microphones, etc.
This model was not trained intentionally for very large crowd use (think blurry faces in the distant background). We recommend fine-tuning this model on your own dataset for those use cases.
Example use case: Are people looking in X direction? How long are people looking at X object?
Use Free Face Detection API
Powered by general detection model
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"
},
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
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{ faces-rgbde-wfv4s_dataset,
title = { Faces Dataset },
type = { Open Source Dataset },
author = { TEST },
howpublished = { \url{ https://universe.roboflow.com/test-3soh8/faces-rgbde-wfv4s } },
url = { https://universe.roboflow.com/test-3soh8/faces-rgbde-wfv4s },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { dec },
note = { visited on 2026-07-29 },
}