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Project Type
Object Detection
Classification
Instance Segmentation
+3

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


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Custom

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

# 4. Get your results
print(result)

Top Explicit Datasets and Models

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

Project 1 project thumbnail
Object Detection

Project 1

by vvcbvbvn

141 images
3D ViewerAccordionAccount DropdownAction SheetAdd ButtonAdd IconAdd UserAlertAlert BoxAlert IconAlertdialogAlignment ContainerAnalyticsApp BarArrow IconAudio IconAudio PlayerAuto-complete InputAvatarBack Arrow Icon
My First Project project thumbnail
Classification

My First Project

by Workspace

5k images·1 model
'mongst nonemigrant ecclesia9th sergelim DelaplaineA&P Hordville siliconsAA mesmerism chorioadenomaACWP hypohepatia hedginglyAIDS off-bitten retroactivelyASTMS brewst rehumiliatedATP2 flagellations green-fishAbercrombie jemidars choristerAbruzzi forehock LampsilisAcacea quatral enhancersAcalypterae eyewinker DominoAcanthodes calyceal tubectomyAcanthodidae elastics paleoanthropologyAcolhua Hammondsport guttulateAdapis PIO LyssaAdel endover chequeredAdventism discanonized hayliftAeria braveries coelomicAfridi whoosh mycol
explicit content identification project thumbnail
Classification

explicit content identification

by BaranidharanR

1.3k images·1 model
normalUnlabeledexplicit
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