Universe

Dogs addition Computer Vision Dataset

bySergeyTask:
Object Detection
License:CC BY 4.0450 views16 downloads
See all 1.1k imagesDogs addition dogs sample showing dog, personDogs addition dogs sample showing dogDogs addition dogs sample showing dog, personDogs addition dogs sample showing dogDogs addition dogs sample showing dog, personDogs addition dogs sample showing dogDogs addition dogs sample showing dogDogs addition dogs sample showing dogDogs addition dogs sample showing dogDogs addition dogs sample showing cat, dogDogs addition dogs sample showing dogDogs addition dogs sample showing cat, person

About Dogs addition Dataset

Here are a few use cases for this project:

  1. "Pet Adoption Agencies": This computer vision model can be used by pet adoption agencies to categorize different types of dogs in their databases and help prospective owners easily find a specific dog breed. Person-dog interactions captured in images might be used to analyze or visualize the dog's behavior around humans.

  2. "Animal Rescue and Rehabilitation": In a wildlife or urban setting, the model can be used to distinguish dogs from other animals like cats and birds, which could be especially useful in cases where specific rescue, rehab, or population control measures are needed.

  3. "Pet Stores and Veterinary Clinics": The model could be used to automate pet identification in the establishments, helping to catalog incoming pets and their interactions with other species or humans.

  4. "Security Surveillance": Used by home security systems, the model can differentiate between person, dog, cat, and bird, and provide accurate alerts based on the identified objects, for instance, if a dog enters a restricted area.

  5. "Urban Planning": Cities and municipalities could use the model to assess the population and interactions of dogs, cats, and birds in public space like parks, to plan or enhance animal-friendly facilities.

Use Free Dog, Cat and Bird 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": "dog, cat, bird, person"
  },
  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{ dogs-addition_dataset,
  title = { Dogs addition Dataset },
  type = { Open Source Dataset },
  author = { Sergey },
  howpublished = { \url{ https://universe.roboflow.com/sergey-rb44e/dogs-addition } },
  url = { https://universe.roboflow.com/sergey-rb44e/dogs-addition },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2021 },
  month = { nov },
  note = { visited on 2026-07-29 },
}

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