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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:
bubblecenter_lightdotedge_lightfriction

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Custom

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

# 4. Get your results
print(result)

Top Bad_print Datasets and Models

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

Related Objects of Interest:
bubblecenter_lightdotedge_lightfriction
Pipe_Stage2 project thumbnail
Object Detection

Pipe_Stage2

by playispotato

683 images
Bad_PrintBubbleCenter_LightDotEdge_LightFrictionLarge_NoteMid_BubbleNotePrintScratchSide_bubbleSide_bulkSide_pimpleSunkenUneven
Pipe_validation_r1 project thumbnail
Object Detection

Pipe_validation_r1

by Playywangai

309 images
Bad_PrintBubbleCenter_LightDotEdge_LightFrictionLarge_NoteMid_BubbleNotePipePrintScratchSide_bubbleSide_bulkSide_pimpleSunkenUneven
Pipe_r1_v1 project thumbnail
Object Detection

Pipe_r1_v1

by Playywangai

685 images·1 model·3
BadBad_PrintBubbleCenter_BubbleCenter_LightDotEdge_LightFrictionGoodLarge_NoteLineMid_BubbleNotePipePrintScratchSide_SunkenSide_bubbleSide_bulkSide_pimple
My First Project project thumbnail
Object Detection

My First Project

by kos64

150 images
labelBad_PrintBad_labelGood_PackageGood_PrintMissing_Barcodedamaged_packageimproper_tapeobjects
Showing 1 - 4 of 4
1
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