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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:
short_circuitmisalignmentmissing_soldersolder_damage

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Custom

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

# 4. Get your results
print(result)

Top Burn_mark Datasets and Models

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

Related Objects of Interest:
short_circuitmisalignmentmissing_soldersolder_damage
annot_yolo project thumbnail
Object Detection

annot_yolo

by atefamor

198 images
Burn_markMisalignmentMissing_solderShort_circuitpcb
My First Project project thumbnail
Instance Segmentation

My First Project

by Paul

1.07k images
02BENTBROKEN_GLASSBROKEN_PARTBURN_MARKCOLOR_MISMATCHCRACKDENTFLAKINGHOLEMELTINGMISSING_PARTNO_LICENSE_PLATERIM_DAMAGERUSTSAGGINGSCRATCHTEARTIRE_DAMAGE
Pcb default detection project thumbnail
Object Detection

Pcb default detection

by PCB fault detection

51 images·1 model
burn_markshort_circuitsolder_damage
sdr_data project thumbnail
Classification

sdr_data

by atefamor

363 images
Burn_markCompliantMisalignmentMissing_solderUnlabeledshort_circuit
Defects project thumbnail
Object Detection

Defects

by PCB fault detection

51 images
burn_markshort_circuitsolder_damage
Showing 1 - 5 of 5
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