Universe

BIRD Computer Vision Model

byiithTask:
Object Detection
License:Public Domain439 views17 downloads

How to use the BIRD Detection API

Try This Model

Drop an image here or click to upload

Or try a test image 

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="bird-8iixj/2")
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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": "0"
  },
  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 
See all 1k imagesBIRD Bird sample showing 0BIRD Bird sampleBIRD Bird sample showing 0BIRD Bird sampleBIRD Bird sampleBIRD Bird sampleBIRD Bird sample showing 0BIRD Bird sampleBIRD Bird sampleBIRD Bird sampleBIRD Bird sample showing 0BIRD Bird sample showing 0

About BIRD Model

Here are a few use cases for this project:

  1. Bird Species Identification: BIRD can be used by birdwatchers, researchers, and environmentalists to automatically identify and catalog various bird species by analyzing photos taken in their natural habitats.

  2. Biodiversity Monitoring and Conservation: BIRD can help in tracking and monitoring biodiversity in various ecosystems by analyzing photographic data, providing valuable information for conservation efforts and understanding the impact of climate change on bird populations.

  3. Drone-Based Wildlife Surveillance: The BIRD model could be integrated into drone systems to conduct automated aerial surveys of bird populations, allowing researchers to monitor and study bird behavior and migration from a safe distance without causing disturbance.

  4. Educational Applications: BIRD can serve as a useful tool for educators and students in workshops and interactive exhibits in zoos, museums, and classrooms, enabling users to learn more about various bird species and their distribution.

  5. Citizen Science Projects: BIRD can empower citizen scientists to contribute to scientific research by easily identifying and reporting bird sightings to bird-watching databases and local wildlife groups, providing valuable data on species distribution and population trends.

Cite This Project

LicensePublic Domain

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

@misc{ bird-8iixj_dataset,
  title = { BIRD Dataset },
  type = { Open Source Dataset },
  author = { iith },
  howpublished = { \url{ https://universe.roboflow.com/iith-exbih/bird-8iixj } },
  url = { https://universe.roboflow.com/iith-exbih/bird-8iixj },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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