fruit detection Computer Vision Model
How to use the fruit detection Detection API
Try This Model
Drop an image here or click to upload
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-qzu8x/1")Or, Use Free Apple, Orange and Banana Detection API
Powered by general detection model
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, orange, banana"
},
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
About fruit detection Model
Here are a few use cases for this project:
-
Grocery Inventory Management: The "fruit detection" model can be used by grocery stores for the tracking of inventory levels. It can identify different types of fruits on the shelves and can be integrated into an automatic stock updating system to alert for replenishment.
-
Smart Agriculture: Farmers or agricultural technologists can use this model to identify and count fruits in an orchard, potentially aiding in yield estimation and crop health monitoring. This may include detection of morphological differences that could indicate disease or pest damage.
-
Educational Apps: Developers can utilize the model in creating educational apps to teach kids or students to identify different types of fruits. It can be integrated into interactive games or quizzes for learning purposes.
-
Health and Diet Applications: This model can be used in dietary management applications where users need to keep track of their food intake. By taking pictures of fruits, the application can identify the fruit and provide nutritional information.
-
Quality Control in Food Processing: The model can be implemented in a computer vision system to sort fruits based on their type in fruit packing or processing plants. This will help in automating the process and cut down human errors.
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ fruit-detection-qzu8x_dataset,
title = { fruit detection Dataset },
type = { Open Source Dataset },
author = { It Vedant },
howpublished = { \url{ https://universe.roboflow.com/it-vedant/fruit-detection-qzu8x } },
url = { https://universe.roboflow.com/it-vedant/fruit-detection-qzu8x },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2026-07-29 },
}