YOLOv10 Annotation Computer Vision Model
How to use the YOLOv10 Annotation Detection API
Try This Model
Drop an image here or click to upload
Or try a test image
Model type: Roboflow 3.0 Object Detection (Fast)
Dataset: yolov10-annotation/11 (2481 images)
Checkpoint: yolov10-annotation/10
Mar 16, 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="yolov10-annotation/11")Give your agent everything it needs
Or, Use Free Facial-Asymmetry, Left_eye and Left_lip_corner 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": "Facial-Asymmetry, left_eye, left_lip_corner, right_eye, right_lip_corner"
},
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 YOLOv10 Annotation Model
This project is about identifying 4 parts of the face, the right eye, left eye, right lip corner, and left lip corner. this dataset annotations will be used for our thesis development that aims to use yolov10 to idenfity facial asymmetry for stroke detection
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{ yolov10-annotation_dataset,
title = { YOLOv10 Annotation Dataset },
type = { Open Source Dataset },
author = { Phoebes Workplace },
howpublished = { \url{ https://universe.roboflow.com/phoebes-workplace/yolov10-annotation } },
url = { https://universe.roboflow.com/phoebes-workplace/yolov10-annotation },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2026 },
month = { apr },
note = { visited on 2026-07-29 },
}








