Smile Type Recognition Computer Vision Model
How to use the Smile Type Recognition Detection API
Try This Model
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Or try a test image
Model type: Roboflow 3.0 Object Detection (Fast)
Dataset: smile-type-recognition/1 (68 images)
Checkpoint: COCOn
Jul 2, 2024
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="smile-type-recognition/1")Give your agent everything it needs
Or, Use Free Average_smile_line, Commissure_smile_type and Complex_smile_type Detection API
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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": "average_smile_line, commissure_smile_type, complex_smile_type, consonant_smile_arc, cuspid_smile_type"
},
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 Smile Type Recognition Model
This project provides a highly specialized computer vision resource for the detailed analysis of facial aesthetics and dental smile types. By utilizing this pre-trained model and dataset, developers can build diagnostic tools that categorize smile characteristics such as arc curvature, line height, and muscle-driven smile types.
Ways to use Smile Type Recognition
- Orthodontic and Cosmetic Dentistry: Assist dental professionals in treatment planning by automatically identifying smile arcs and lines to predict the aesthetic outcome of braces or veneers.
- Facial Plastic Surgery Consultations: Use the model to perform objective pre-operative assessments of a patient's smile complex and commissure types for more precise surgical planning.
- AI-Driven Skincare and Beauty Apps: Enhance virtual makeover tools by analyzing a user's unique smile type to provide personalized makeup or facial exercise recommendations.
- Emotional Intelligence Research: Support psychological studies by quantifying different smile types to better understand the relationship between facial muscle movement and perceived emotion.
- Photogenic Score and Photography Tools: Integrate into smart cameras or photo editing software to identify the "ideal" smile arc or help users find their most flattering facial expressions in real-time.
Roboflow Agent
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Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ smile-type-recognition_dataset,
title = { Smile Type Recognition Dataset },
type = { Open Source Dataset },
author = { ALISHBA },
howpublished = { \url{ https://universe.roboflow.com/alishba-wxcsc/smile-type-recognition } },
url = { https://universe.roboflow.com/alishba-wxcsc/smile-type-recognition },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2026 },
month = { jan },
note = { visited on 2026-07-29 },
}










