Universe

Road_32 Computer Vision Dataset

bysamspace1Task:
Instance Segmentation
License:MIT
See all 312 imagesRoad_32 road-32 sample showing object--sign--advertisementRoad_32 road-32 sample showing object--street-light, object--support--utility-poleRoad_32 road-32 sample showing object--sign--advertisementRoad_32 road-32 sample showing object--junction-box, object--street-light, object--support--utility-poleRoad_32 road-32 sample showing object--sign--advertisementRoad_32 road-32 sample showing object--sign--advertisement, object--traffic-sign--frontRoad_32 road-32 sample showing object--sign--advertisementRoad_32 road-32 sample showing object--street-light, object--support--utility-pole, regulatory--no-stopping--g1Road_32 road-32 sample showing object--sign--advertisementRoad_32 road-32 sample showing construction--flat--road, construction--flat--service-lane, construction--structure--bridge, construction--structure--tunnel, marking--continuous--solid, marking--discrete--other-marking, object--street-light, object--traffic-sign--front, object--vehicle--car, void--ego-vehicle, void--unlabeledRoad_32 road-32 sample showing information--highway-interchange--g1, object--support--utility-poleRoad_32 road-32 sample showing object--sign--store, object--traffic-sign--back, object--traffic-sign--front

About Road_32 Dataset

A description for this project has not been published yet.

Use Free Construction--barrier--concrete-block, Construction--barrier--curb and Construction--barrier--fence 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": "construction--barrier--concrete-block, construction--barrier--curb, construction--barrier--fence, construction--barrier--guard-rail, construction--barrier--wall"
  },
  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

LicenseMIT

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

@misc{ road_32_dataset,
  title = { Road_32 Dataset },
  type = { Open Source Dataset },
  author = { samspace1 },
  howpublished = { \url{ https://universe.roboflow.com/samspace1/road_32 } },
  url = { https://universe.roboflow.com/samspace1/road_32 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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