finger lime finder Computer Vision Model
How to use the finger lime finder 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="finger-lime-finder/5")Give your agent everything it needs
Or, Use Free Cup, Mushroom and Fallen 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": "cup, mushroom, fallen, finger-lime"
},
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 finger lime finder Model
An object detection model for locating Australian Finger Limes on a white roller conveyor for fruit sorting applications.
Trained on green (dark and pale) varieties mostly, with some small amount of red/darker limes.
Expected to be used for pre-processing/location of ROIs for further heuristic/classical machine vision for analysis of lime characteristics (colour, hue, skin quality etc).
Roboflow Agent
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{ finger-lime-finder_dataset,
title = { finger lime finder Dataset },
type = { Open Source Dataset },
author = { KFindlater },
howpublished = { \url{ https://universe.roboflow.com/kfindlater/finger-lime-finder } },
url = { https://universe.roboflow.com/kfindlater/finger-lime-finder },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2026-07-29 },
}










