Fruit Detection Classification Global View Computer Vision Model

How to use the Fruit Detection Classification Global View Segmentation API

Try This Model

Drop an image here or click to upload

Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="fruit-detection-classification-global-view/4")
Give your agent everything it needs

Or, Use Free Apple, Trunk and Wire Detection API

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Code
pip install inference-sdk
# 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": "apple, trunk, wire, 0, 1"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

About Fruit Detection Classification Global View Model

Fruit Detection & Classification model with wire detection

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ fruit-detection-classification-global-view_dataset,
  title = { Fruit Detection Classification Global View Dataset },
  type = { Open Source Dataset },
  author = { Canopy Classification 2025 },
  howpublished = { \url{ https://universe.roboflow.com/canopy-classification-2025/fruit-detection-classification-global-view } },
  url = { https://universe.roboflow.com/canopy-classification-2025/fruit-detection-classification-global-view },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2026 },
  month = { feb },
  note = { visited on 2026-07-29 },
}

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