Universe

veggie detection Computer Vision Dataset

byAcademicTask:
Object Detection
License:CC BY 4.0

How to use the veggie detection Detection API

Try This Model

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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="academic-bafvt/veggie-detection-uilmy-instant-1")
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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": "tomato, potato, onion, garlic"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

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Detecting classes:
Or try a test image 
See all 210 imagesveggie detection vegetables sample showing tomatoveggie detection vegetables sample showing tomatoveggie detection vegetables sample showing potatoveggie detection vegetables sample showing garlicveggie detection vegetables sample showing onionveggie detection vegetables sample showing tomatoveggie detection vegetables sample showing potatoveggie detection vegetables sample showing tomatoveggie detection vegetables sample showing tomatoveggie detection vegetables sample showing garlicveggie detection vegetables sample showing potatoveggie detection vegetables sample showing garlic

About veggie detection Model

Project Title Smart Crop Detection System for Agricultural Automation

Overview This project implements an intelligent computer vision system designed to automatically identify and classify common vegetables using YOLOv8 object detection. The system integrates with ESP32-S3-CAM hardware for real-time image capture and processing, making it suitable for agricultural automation, crop monitoring, and smart farming applications.

Dataset Description Classes: 4 vegetable categories

šŸ§„ Garlic šŸ§… Onion šŸ„” Potato šŸ… Tomato

Cite This Project

LicenseCC BY 4.0

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

@misc{ veggie-detection-uilmy_dataset,
  title = { veggie detection Dataset },
  type = { Open Source Dataset },
  author = { Academic },
  howpublished = { \url{ https://universe.roboflow.com/academic-bafvt/veggie-detection-uilmy } },
  url = { https://universe.roboflow.com/academic-bafvt/veggie-detection-uilmy },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { sep },
  note = { visited on 2026-07-29 },
}

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