M.TECH Computer Vision Dataset
About M.TECH Dataset
This project detects cottn crop weeds using computer vision yoloV8 alorithm
Use Free Cotton, Carpetweeds and Crabgrass 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": "Cotton, Carpetweeds, Crabgrass, Eclipta, Goosegrass"
},
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
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{ m.tech-f3qud_dataset,
title = { M.TECH Dataset },
type = { Open Source Dataset },
author = { Rayansh },
howpublished = { \url{ https://universe.roboflow.com/rayansh/m.tech-f3qud } },
url = { https://universe.roboflow.com/rayansh/m.tech-f3qud },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { apr },
note = { visited on 2026-07-29 },
}