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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:
auto-suv-pickupmotov.-pesado

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Custom

Try V-pesado 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": "v-pesado"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:v-pesado

Related Objects of Interest:
auto-suv-pickupmotov.-pesado
Traffic24 project thumbnail
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Traffic24

by Base Datos 2

453 images·1
motoV.-Pesadoauto-suv-pickup
Motos Traffic project thumbnail
Object Detection

Motos Traffic

by Motos

466 images·2
motoV.-Pesadoauto-suv-pickup
BACKGROUNDS project thumbnail
Object Detection

BACKGROUNDS

by Background

35 images·1
motoV.-Pesadoauto-suv-pickup
BaseDatos_L24 project thumbnail
Object Detection

BaseDatos_L24

by Base Datos L24

652 images·2
motoV.-Pesadoauto-suv-pickup
Fondo sin vehículos project thumbnail
Object Detection

Fondo sin vehículos

by BackGround24

217 images·3
motoV.-Pesadoauto-suv-pickup
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