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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:
distracted_behinddistracted_gloveboxdistracted_leftdistracted_radiodistracted_right

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Custom

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

# 4. Get your results
print(result)

Top Distracted_down Datasets and Models

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

Related Objects of Interest:
distracted_behinddistracted_gloveboxdistracted_leftdistracted_radiodistracted_right
Distracted Driving project thumbnail
Object Detection

Distracted Driving

by Distracted Driving

2.25k images·2 models·9
Distracted_BehindDistracted_DownDistracted_FowardDistracted_GloveboxDistracted_Hand_On_HeadDistracted_Hands_Off_WheelDistracted_LeftDistracted_PhoneDistracted_RadioDistracted_RightNormal_Drivingd
DDD_3 project thumbnail
Object Detection

DDD_3

by DDDetection

467 images
drowsy0distracted_downhand_gesturekjfsgphone_usesmilingturning_head
Distracted Driving project thumbnail
Object Detection

Distracted Driving

by Distracted Driving

80 images·1 model·1
Distracted_BehindDistracted_GloveboxDistracted_LeftDistracted_RadioDistracted_RightDistracted_downNormal_Driving
Showing 1 - 3 of 3
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