YOLOv10 Annotation Computer Vision Model

byPhoebes WorkplaceTask:
Object Detection
License:CC BY 4.0

How to use the YOLOv10 Annotation Detection API

Try This Model

Drop an image here or click to upload

Or try a test image 

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")
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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": "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

Cite This Project

LicenseCC BY 4.0

If 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 },
}

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