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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 Designer_awake_mode 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": "designer_awake_mode"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Designer_awake_mode Datasets and Models

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

VOGUE_MJ project thumbnail
Object Detection

VOGUE_MJ

by DEYAN

55 images
Designer_AZ_FactoryDesigner_Academy_CostumesDesigner_AlaiaDesigner_Alexander_McQueenDesigner_Alexandre_Vauthier_Haute_CoutureDesigner_Alo_YogaDesigner_Anderson_And_SheppardDesigner_Angels_Fancy_DressDesigner_Ann_DemeulemeesterDesigner_Ara_VartanianDesigner_Awake_ModeDesigner_Axel_ArigatoDesigner_BalenciagaDesigner_BalmainDesigner_Bottega_VenetaDesigner_Brunello_CucinelliDesigner_BrunnaCoDesigner_BurberryDesigner_Carlo_ManziDesigner_Celine
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