Universe

GasVid-Localization Computer Vision Dataset

bybestlabmlurapfall2025Task:
Object Detection
License:MIT1 view

How to use the GasVid-Localization Detection 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="bestlabmlurapfall2025/gasvid-localization-utqlt-instant-2")
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Or, Use Free 0, Leak_plume and Leak_source 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": "0, leak_plume, leak_source, objects, plume"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

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Detecting classes:
Or try a test image 
See all 437 imagesGasVid-Localization objects sampleGasVid-Localization objects sampleGasVid-Localization objects sampleGasVid-Localization objects sampleGasVid-Localization objects sampleGasVid-Localization objects sampleGasVid-Localization objects sample showing plume, sourceGasVid-Localization objects sampleGasVid-Localization objects sampleGasVid-Localization objects sampleGasVid-Localization objects sampleGasVid-Localization objects sample

About GasVid-Localization Model

Leak localization for Squishy Robotics and the UC Berkeley B.E.S.T. Lab.

Cite This Project

LicenseMIT

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

@misc{ gasvid-localization-utqlt_dataset,
  title = { GasVid-Localization Dataset },
  type = { Open Source Dataset },
  author = { bestlabmlurapfall2025 },
  howpublished = { \url{ https://universe.roboflow.com/bestlabmlurapfall2025/gasvid-localization-utqlt } },
  url = { https://universe.roboflow.com/bestlabmlurapfall2025/gasvid-localization-utqlt },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2026 },
  month = { apr },
  note = { visited on 2026-07-29 },
}

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