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Object Detection
Classification
Instance Segmentation
+3

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


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

# 4. Get your results
print(result)

Top Cena_integral Datasets and Models

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

visioncastano project thumbnail
Object Detection

visioncastano

by Martn Kstner

78 images·1 model·1
CENA_BLANCOCENA_INTEGRALEN201_MOLDE LINAZA CHIA JIRAFAEN231_MOLDE_FAM_CAS_BCO_570EN240_MOLDE_BLANCO_400EN243_MOLDE_INTEGRAL_LINAZEN247_MOLDE INTEG AVENA QUEN248_PAN MOLDE MULTIGRANOEN249_MOLDE CALABAZA MIXEN250_MOLDE SEMILLAS ANCESTRALESEN269_MOLDE_KINGSBURY_HI-LOWEN278_MOLDE CENTENO MARAVILLA 500GEN280_MOLDE MIGA SANDWICHEN296_PIERRE_BLANCOEN297_MOLDE FAMILIAR PIERRE INTEGRALEN303_MOLDE_FAMILIAR_KING_PERFECTOEN306_MOLDE_FAMILIAR_CAS_INTEGRALEN307_MOLDE_FAMILIAR_CAS_INTEGRAL_LIGHTEN310_MOLDE_DUO_XLEN312_BLANCO_XL
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