Chilli Computer Vision Model
How to use the Chilli 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="chilli-llhbh/8")Or, Use Free Weed and Crop 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": "weed, crop"
},
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 Chilli Model
Here are a few use cases for this project:
-
Agricultural Management: The model can help in identifying chilli-weed classes in a field. By differentiating between crops and weeds, it can aid farmers in more effective and precision agriculture, reducing labor and time in weeding operations, and improving overall crop yield.
-
Botanical Research: The "Chilli" model can be used in botanical studies to understand the invasion patterns of various types of weeds in chilli crops. It can help assess the impact of different weed species on crop growth.
-
Herbicide Development: The model can assist in herbicide research and development. By identifying specific weed types that infest chilli crops, companies can work to design more targeted and effective herbicide solutions.
-
Agricultural Education: The model could be used as teaching material in agriculture-based education. Students can utilize the technology to improve their understanding of weed identification and its impact on crop cultivation.
-
Environmental Monitoring: By tracking weed spread, the "Chilli" model can be used in ecological investigations to monitor changes in local biodiversity, contributing to the surveillance and response systems for invasive weeds.
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{ chilli-llhbh_dataset,
title = { Chilli Dataset },
type = { Open Source Dataset },
author = { project },
howpublished = { \url{ https://universe.roboflow.com/project-cuwpe/chilli-llhbh } },
url = { https://universe.roboflow.com/project-cuwpe/chilli-llhbh },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2026-07-29 },
}