Air Plane Detection Computer Vision Model
How to use the Air Plane Detection Detection API
Try This Model
Drop an image here or click to upload
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="air-plane-detection/1")Or, Use Free Airplane Detection API
Powered by general detection model
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": "airplane"
},
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
About Air Plane Detection Model
Here are a few use cases for this project:
-
Airport Security and Traffic Monitoring: Use the "Air Plane Detection" model to monitor airport traffic and identify unauthorized entries of football players, ensuring safety and security within restricted airport areas. Search keywords: airport security, traffic monitoring, football players, airplane detection, restricted access.
-
Air Show Event Coordination: Implement the computer vision model to coordinate air shows by identifying both airplanes and any football players present in the area to prevent collisions or incidents during performances. Search keywords: air show, event coordination, airplane detection, football players, safety measures.
-
Marketing Campaigns for Airlines and Sports Teams: Utilize the model in marketing campaigns that promote both aviation and football, by detecting the presence of airplanes and football players in images to create dynamic and engaging advertisements. Search keywords: marketing, advertising, airlines, sports teams, airplane detection, football players.
-
Drone-Powered Sports Broadcasting: Enhance the viewing experience of football matches by using drones equipped with the "Air Plane Detection" model to follow not only players but also aerial performances and airplane flyovers during games. Search keywords: drone, sports broadcasting, football players, airplane detection, unique viewpoints.
-
Airplane and Football Themed Video Game Development: Incorporate the computer vision model into the development of a video game that combines the excitement of aviation and football, where players must identify and interact with both airplanes and football players during gameplay. Search keywords: video game development, airplane detection, football players, gaming, interactive challenges.
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{ air-plane-detection_dataset,
title = { Air Plane Detection Dataset },
type = { Open Source Dataset },
author = { My Projects },
howpublished = { \url{ https://universe.roboflow.com/my-projects-ons8w/air-plane-detection } },
url = { https://universe.roboflow.com/my-projects-ons8w/air-plane-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2026-07-29 },
}