Apple Computer Vision Model
How to use the Apple Detection 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="apple-4akkp/1")Give your agent everything it needs
Or, Use Free Apple, Scratch and Bruise Detection API
Powered by general detection model
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, scratch, bruise, pest, rotten"
},
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 Apple Model
This is images of apples with class, Apple, pest, scratch pest, bruise and rotten all the annotation was done by hand. have fun with it if it works for you about 800 images are fuji apples about 400 non damaged and 400 damaged with everything in them.
Roboflow Agent
Tell the agent what you want to build.
Cite This Project
LicensePublic DomainIf you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ apple-4akkp_dataset,
title = { Apple Dataset },
type = { Open Source Dataset },
author = { Doom },
howpublished = { \url{ https://universe.roboflow.com/doom-es4dt/apple-4akkp } },
url = { https://universe.roboflow.com/doom-es4dt/apple-4akkp },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { dec },
note = { visited on 2026-07-29 },
}