empty parking spot annotation Computer Vision Model
How to use the empty parking spot annotation Segmentation API
Try This Model
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Model type: Roboflow 3.0 Instance Segmentation (Fast)
Dataset: empty-parking-spot-annotation/1 (396 images)
Checkpoint: COCO
Jan 25, 2026
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="empty-parking-spot-annotation/1")Give your agent everything it needs
Or, Use Free Empty parking spot and Objects 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": "empty parking spot, objects"
},
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 empty parking spot annotation 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{ empty-parking-spot-annotation_dataset,
title = { empty parking spot annotation Dataset },
type = { Open Source Dataset },
author = { empty parking spot },
howpublished = { \url{ https://universe.roboflow.com/empty-parking-spot/empty-parking-spot-annotation } },
url = { https://universe.roboflow.com/empty-parking-spot/empty-parking-spot-annotation },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2026 },
month = { jan },
note = { visited on 2026-07-29 },
}