IVFlyingObjects_Detection Computer Vision Dataset
About IVFlyingObjects_Detection Dataset
Here are a few use cases for this project:
-
Airport Traffic Management: The model could be utilized by air traffic control systems to monitor and identify types of aircrafts in the airspace for efficient scheduling and coordination, specifically during low-visibility conditions.
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Bird Strike Mitigation: In avian ecology studies or in aviation safety, the model can be used to identify birds in the path of aircrafts, allowing for timely mitigation actions to prevent bird strikes.
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Military Surveillance: For defense purposes, the model can detect different classes of aircrafts and provide early warnings about potential threats.
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Wildlife Research and Monitoring: Ecologists can use the model to remotely monitor and study bird behaviour and migration patterns in different environments.
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Search and Rescue Operations: In cases of natural disasters or lost individuals, the model can be used to spot helicopters and planes involved in search and rescue operations, facilitating coordination and increasing the chance of successful outcomes.
Use Free Bird, Drone and Plane 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": "Bird, Drone, Plane, Helicopter"
},
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
Tell the agent what you want to build.
Cite This Project
LicensePublic DomainIf you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ ivflyingobjects_detection-dhxtc_dataset,
title = { IVFlyingObjects_Detection Dataset },
type = { Open Source Dataset },
author = { talha },
howpublished = { \url{ https://universe.roboflow.com/talha-t7a2j/ivflyingobjects_detection-dhxtc } },
url = { https://universe.roboflow.com/talha-t7a2j/ivflyingobjects_detection-dhxtc },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { dec },
note = { visited on 2026-07-29 },
}










