SCHWARZ_WEED1 Computer Vision Dataset
How to use the SCHWARZ_WEED1 Detection API
Try This Model
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Or try a test image
Dataset: schwarz_weed1/1 (973 images)
Oct 12, 2024
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="schwarz_weed1/1")Give your agent everything it needs
Or, Use Free Weed, Weed: amaranthus palmeri (BBCH10-12) and Weed: amaranthus palmeri (BBCH13-16) 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": "weed, weed: amaranthus palmeri (BBCH10-12), weed: amaranthus palmeri (BBCH13-16), weed: amaranthus palmeri (BBCH13-29 - bushy), weed: amaranthus palmeri (BBCH17-19)"
},
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 SCHWARZ_WEED1 Model
YOLOv8m on PAGS8 dataset PAGS8 - Palmer amaranth Growth Stage - 8 Images of Palmer amaranth at eight different growth stages collected in cotton at the Texas A&M University farm in College Station, Texas. The dataset is a benchmark for growth stage detection under highly variable conditions in a morphologically challenging plant species.
Dataset: https://weed-ai.sydney.edu.au/datasets/5c78d067-8750-4803-9cbe-57df8fae55e4 MichaelJ
Roboflow Agent
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Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ schwarz_weed1_dataset,
title = { SCHWARZ_WEED1 Dataset },
type = { Open Source Dataset },
author = { Corn },
howpublished = { \url{ https://universe.roboflow.com/corn-y933v/schwarz_weed1 } },
url = { https://universe.roboflow.com/corn-y933v/schwarz_weed1 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { oct },
note = { visited on 2026-07-29 },
}










