Weed Detection Computer Vision Dataset
About Weed Detection Dataset
Project Name: " Weed detection using ESP32" Project overview: The target is to develop a model to detect weeds in the field and so that can easily be detected and detached.
Descriptions: We will use ESP32 which has a camera and real time image can be seen with it. We will train the model with tensorflow and than run the algorithm in the ESP32. Then based on the algorithm weeds can be detected from the field.
Links to external resources: https://universe.roboflow.com/roboflow-100/grass-weeds/dataset/2
Use Free 0 ridderzuring and Unlabeled 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": "0 ridderzuring, Unlabeled"
},
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{ weed-detection-5qkmh_dataset,
title = { Weed Detection Dataset },
type = { Open Source Dataset },
author = { IoT Project },
howpublished = { \url{ https://universe.roboflow.com/iot-project-cbpl8/weed-detection-5qkmh } },
url = { https://universe.roboflow.com/iot-project-cbpl8/weed-detection-5qkmh },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { sep },
note = { visited on 2026-07-29 },
}