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Drone-Bird-Detection Computer Vision Dataset

bytesting setTask:
Object Detection
License:CC BY 4.0
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About Drone-Bird-Detection Dataset

The dataset was created by aggregating images and classes from multiple sources to form a diverse and robust collection for research and development purposes. The dataset includes the following contributions:

  • Bird and Drone Classes: Source: Project DDrone - DatasetDrone

    Contribution: Images and classes for both bird and drone categories were extracted and included.

  • Main Birds Dataset: Source: Main Birds Dataset

    Contribution: An additional 1600 bird images were incorporated to enhance the dataset's variety and richness.

  • Bird Images: Source: Bird Dataset by Yesmin

    Contribution: A total of 996 bird images were integrated into the dataset.

These images were integrated to ensure balanced classes, providing a comprehensive collection of images focusing on birds and drones. This makes the dataset suitable for various applications such as object detection, classification, and machine learning model training.

Use Free Bird and Drone 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": "Bird, Drone"
  },
  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 

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ drone-bird-detection-3nl79-lvdgx_dataset,
  title = { Drone-Bird-Detection Dataset },
  type = { Open Source Dataset },
  author = { testing set },
  howpublished = { \url{ https://universe.roboflow.com/testing-set/drone-bird-detection-3nl79-lvdgx } },
  url = { https://universe.roboflow.com/testing-set/drone-bird-detection-3nl79-lvdgx },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { jan },
  note = { visited on 2026-07-29 },
}

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