Universe

posture_correction_v4 Computer Vision Dataset

byKitaroTask:
Classification
License:CC BY 4.0
See all 4.7k imagesposture_correction_v4 posture sample showing sit up straightposture_correction_v4 posture sample showing sit up straightposture_correction_v4 posture sample showing straighten headposture_correction_v4 posture sample showing sit up straightposture_correction_v4 posture sample showing sit up straightposture_correction_v4 posture sample showing looks goodposture_correction_v4 posture sample showing sit up straightposture_correction_v4 posture sample showing looks goodposture_correction_v4 posture sample showing sit up straightposture_correction_v4 posture sample showing sit up straightposture_correction_v4 posture sample showing sit up straightposture_correction_v4 posture sample showing sit up straight

About posture_correction_v4 Dataset

Here are a few use cases for this project:

  1. Ergonomics Evaluation: This model can be used by OSHA/Ergonomics companies or consultants for evaluating employees' postures, particularly those in sedentary roles, to recommend improvements and reduce the risk of musculoskeletal disorders.

  2. Health & Wellness Applications: The model can be used in apps that promote good posture, which may help individuals combat issues like back pain. These apps can provide automatic feedback on user's posture in real-time.

  3. Virtual Fitness Training: In the context of fitness or yoga classes, the model can evaluate whether the participants are performing the postures correctly or not.

  4. Physical Therapy: Physical therapists can use this model to create and monitor rehabilitation programs. They can give patients personalized, remote feedback during their recovery.

  5. Gaming Industry: For interactive video games, the model can be used to observe and interpret players' postures to control in-game characters, adding another level of challenge and immersion.

Use Free Looks good, Sit up straight and Straighten head 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": "looks good, sit up straight, straighten head, Unlabeled"
  },
  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 

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ posture_correction_v4-tegqn_dataset,
  title = { posture_correction_v4 Dataset },
  type = { Open Source Dataset },
  author = { Kitaro },
  howpublished = { \url{ https://universe.roboflow.com/kitaro/posture_correction_v4-tegqn } },
  url = { https://universe.roboflow.com/kitaro/posture_correction_v4-tegqn },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { jun },
  note = { visited on 2026-07-29 },
}

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