Universe

sb3 Computer Vision Model

byzzTask:
Instance Segmentation
License:CC BY 4.0

How to use the sb3 Segmentation API

Try This Model

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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="sb3-k4dzm/1")
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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": "object"
  },
  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 19 imagessb3 object sample showing objectsb3 object samplesb3 object samplesb3 object samplesb3 object samplesb3 object samplesb3 object samplesb3 object samplesb3 object samplesb3 object samplesb3 object samplesb3 object sample

About sb3 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{ sb3-k4dzm_dataset,
  title = { sb3 Dataset },
  type = { Open Source Dataset },
  author = { zz },
  howpublished = { \url{ https://universe.roboflow.com/zz-ye0yh/sb3-k4dzm } },
  url = { https://universe.roboflow.com/zz-ye0yh/sb3-k4dzm },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2024 },
  month = { dec },
  note = { visited on 2026-07-29 },
}

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