Universe

Segmentation Computer Vision Model

byDaniilTask:
Instance Segmentation
License:CC BY 4.014 views1 download

How to use the Segmentation Segmentation API

Try This Model

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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="segmentation-4hi1c/1")
Give your agent everything it needs

Or, Use Free Anger, Astonoshment and Fear 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": "anger, astonoshment, fear, joy, sadness"
  },
  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 
See all 250 imagesSegmentation sadness sample showing sadnessSegmentation sadness sample showing astonoshmentSegmentation sadness sample showing astonoshmentSegmentation sadness sample showing astonoshmentSegmentation sadness sample showing angerSegmentation sadness sample showing sadnessSegmentation sadness sample showing sadnessSegmentation sadness sample showing fearSegmentation sadness sample showing angerSegmentation sadness sample showing angerSegmentation sadness sample showing sadnessSegmentation sadness sample showing anger

About Segmentation Model

A description for this project has not been published yet.

Cite This Project

LicenseCC BY 4.0

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

@misc{ segmentation-4hi1c_dataset,
  title = { Segmentation Dataset },
  type = { Open Source Dataset },
  author = { Daniil },
  howpublished = { \url{ https://universe.roboflow.com/daniil-ewwui/segmentation-4hi1c } },
  url = { https://universe.roboflow.com/daniil-ewwui/segmentation-4hi1c },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { dec },
  note = { visited on 2026-07-29 },
}

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