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Project Type
Object Detection
Classification
Instance Segmentation
+3

Model Type
RF-DETR
YOLO26
YOLOv11
YOLOv8
YOLO-NAS
+4

Related Objects of Interest:
medium_crackpavement_cracksevere_cracktile_damage

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Custom

Try Fine_crack 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": "fine_crack"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Fine_crack Datasets and Models

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

Related Objects of Interest:
medium_crackpavement_cracksevere_cracktile_damage
My First Project project thumbnail
Object Detection

My First Project

by poc

205 images
fine_crackjoint_linepipe_or_conduitsmall_crackwide_crack
Civil Faults Detection  project thumbnail
Object Detection

Civil Faults Detection

by IITI

2.16k images·9
Diagonal_Fine_CrackDiagonal_Medium_CrackDiagonal_Severe_CrackFine_CrackHorizontal_Fine_CrackHorizontal_Medium_CrackHorizontal_Severe_CrackMedium_CrackPavement_CrackSevere_CrackTile_DamageVertical_Fine_CrackVertical_Medium_CrackVertical_Severe_Crack
MS R project thumbnail
Object Detection

MS R

by IITI

1.95k images·1 model·4
Fine_CrackMedium_CrackPavement_CrackSevere_CrackTile_Damage
3_Class_Crack project thumbnail
Object Detection

3_Class_Crack

by IITI

2k images·1
Fine_CrackMedium_CrackPavement_CrackSevere_CrackTile_Damage
Showing 1 - 4 of 4
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