Tes Computer Vision Model
How to use the Tes Classification 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="tes-3ww5f/1")Give your agent everything it needs
Or, Use Free Advance stage purple blotch, Advance stage purple blotch advance stage stemphylium and Advance stage purple blotch advance stage stemphylium initial stage purple blotch 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": "advance stage purple blotch, advance stage purple blotch advance stage stemphylium, advance stage purple blotch advance stage stemphylium initial stage purple blotch, advance stage purple blotch initial stage purple blotch, advance stage stemphylium"
},
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 Tes Model
A description for this project has not been published yet.
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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{ tes-3ww5f_dataset,
title = { Tes Dataset },
type = { Open Source Dataset },
author = { xs },
howpublished = { \url{ https://universe.roboflow.com/xs-zbg0k/tes-3ww5f } },
url = { https://universe.roboflow.com/xs-zbg0k/tes-3ww5f },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { dec },
note = { visited on 2026-07-29 },
}