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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 Ziva 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": "ziva"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Ziva Datasets and Models

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

crvena_soba project thumbnail
Object Detection

crvena_soba

by Svens Workspace

1.46k images·1 model
crvenimrtvazeleniziva
Pizza Hut Detection Cleaned project thumbnail
Object Detection

Pizza Hut Detection Cleaned

by abdullahs Workspace

7.46k images
Baked Onion RingsCheese Pizza Moshik Roths StarsCheese-BlintzesCheesy BitesCheesy CrustChocolate BagelDessert ZivaGarlic BreadHaShachar HaOleh Heart PizzaHalloumi Pizza L ThinHeart PizzaMexican MeltsMozzarella-BagelOthersPan PizzaPenne Pasta in Tomato SaucePersonal FriesPersonal PizzaPersonalThick pan pizzaPizza L Thin
Showing 1 - 2 of 2
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