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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:
barre_croisee_ha10barre_croisee_ha12barre_croisee_ha14barre_croisee_ha16barre_croisee_ha20

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Custom

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

# 4. Get your results
print(result)

Top Ecarteur Datasets and Models

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

Related Objects of Interest:
barre_croisee_ha10barre_croisee_ha12barre_croisee_ha14barre_croisee_ha16barre_croisee_ha20
ferrocontrolV0bis(BBX)zaineb project thumbnail
Object Detection

ferrocontrolV0bis(BBX)zaineb

by zainebrebardetection

1
203 images
L_HA12L_HA16U_HA10U_HA8barre_croisee_HA10barre_croisee_HA12barre_croisee_HA14barre_croisee_HA16barre_croisee_HA20barre_croisee_HA25barre_croisee_HA8barre_simple_HA10barre_simple_HA14barre_simple_HA20barre_simple_HA8cadre_HA10cadre_HA8ecarteurepingle_HA8etrier_HA8
ferrocontrol-rebar-detection project thumbnail
Object Detection

ferrocontrol-rebar-detection

by zainebrebardetection

203 images
L_HA12L_HA16L_HA20U_HA10U_HA16U_HA25U_HA8barre_Ha12barre_croisee_HA10barre_croisee_HA12barre_croisee_HA14barre_croisee_HA16barre_croisee_HA20barre_croisee_HA25barre_croisee_HA8barre_simple_HA10barre_simple_HA14barre_simple_HA16barre_simple_HA20barre_simple_HA25
Showing 1 - 2 of 2
1
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