Car Detection Computer Vision Model
How to use the Car Detection Detection API
Try This Model
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Model type: Roboflow 2.0 Object Detection (Fast)
Dataset: car-detection-xp7pc/1 (98 images)
Checkpoint: COCOv6n
Jun 30, 2022
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="car-detection-xp7pc/1")Give your agent everything it needs
Or, Use Free Cars, Honda City Ignite Red and Honda City Platinum White Pearl 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": "Cars, Honda City Ignite Red, Honda City Platinum White Pearl, Honda_City_Ignite_Red, Honda_City_Platinum_White_Pearl"
},
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 Car Detection 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{ car-detection-xp7pc_dataset,
title = { Car Detection Dataset },
type = { Open Source Dataset },
author = { A },
howpublished = { \url{ https://universe.roboflow.com/a-a6ryp/car-detection-xp7pc } },
url = { https://universe.roboflow.com/a-a6ryp/car-detection-xp7pc },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2026-07-29 },
}