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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 Oliven 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": "oliven"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Oliven Datasets and Models

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

Groceries project thumbnail
Object Detection

Groceries

by Treedetection

254 images
object4-KORN 675G AXAALI MØRKBRENT FILTERMALT 250GALI MØRKBRENT KAFFEKAPSEL 16STKALI ORIGINAL FILTERMALT 250GALI ORIGINAL HELE BØNNER 250GALI ORIGINAL KAFFEKAPSEL 16STKALI ORIGINAL KAFFEPUTER 18STKALI ORIGINAL KOKMALT 250GALL-BRAN REGULAR 375G KELLOGGSALPEN MÜSLI WEETABIXAMERICANO 16 KAPSLER DOLCE GUSTOASPARGES GRØNNBAKEKAKAO 250G REGIABERIT GRANOLA M-PUFFET HAVRE 350GBJØRN HAVREMEL 1KG AXABLACK TEA PEACG-MANGO 20PS LIPTONBLUE FRUIT TE PYRAMIDE 20POS LIPTONBLÅ JAVA HELE BØNNER 340G COTWBLÅ JAVA HELE BØNNER 500G JACOBS UTVALGT
majestic project thumbnail
Object Detection

majestic

by workspace

31 images
avocadobuttonfoodZutatenananasbbqbrot1brot2chilieigarnelengurke1gurken2haenhchenkaeseketchuplachsmayoolivenpaprika
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