wasser Computer Vision Dataset
About wasser Dataset
A description for this project has not been published yet.
Use Free 110 AP 16091 KW 16095 WW, 80 AP 16090 KW 16094 WW and DM1 14711 KW 14712 WW 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": "110 AP 16091 KW 16095 WW, 80 AP 16090 KW 16094 WW, DM1 14711 KW 14712 WW, MET 14856 KW 14855 WW, MOC 14854 KW 14853 WW"
},
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{ wasser_dataset,
title = { wasser Dataset },
type = { Open Source Dataset },
author = { Arbeit },
howpublished = { \url{ https://universe.roboflow.com/arbeit/wasser } },
url = { https://universe.roboflow.com/arbeit/wasser },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { may },
note = { visited on 2026-07-29 },
}