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Object Detection
Classification
Instance Segmentation
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Model Type
RF-DETR
YOLO26
YOLOv11
YOLOv8
YOLO-NAS
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Try Bridge_damage Detection API

Run on custom image

Drop or click to upload

# 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": "bridge_damage"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Bridge_damage Datasets and Models

The datasets below can be used to train fine-tuned models for bridge_damage detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

FEMA Cat C - Roads and Bridges project thumbnail
Object Detection

FEMA Cat C - Roads and Bridges

by PostHurricane Damage Assessment Using NOAA Aerial Imagery

997 images·4 models
bridge_damageculvert_damagedebris_obstructionflooding_submersionroad_surface_damagescour_erosionshoulder_failure
My First Project project thumbnail
Classification

My First Project

by Suryas Workspace

54 images·2 models
smokeUnrelatedbridge_damagebridge_fragilebuilding_cleanbuilding_collapsedbuilding_weardowndrainage_problemfire_damagefloodinglandfillno_damagerailway_badrailway_goodroad_cleanroad_crackroad_damagetunnel_damagetunnel_goodvehicle_damage
Showing 1 - 2 of 2
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