CatandDogFinal Computer Vision Dataset
About CatandDogFinal Dataset
About this Dataset
The Oxford Pets dataset (also known as the "dogs vs cats" dataset) is a collection of images and annotations labeling various breeds of dogs and cats. There are approximately 100 examples of each of the 37 breeds. This dataset contains the object detection portion of the original dataset with bounding boxes around the animals' heads.
Origin
This dataset was collected by the Visual Geometry Group (VGG) at the University of Oxford.
Use Free Dog, Cat and Person 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, Person, Parcel, Problem_Parcel"
},
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
Roboflow Agent
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{ catanddogfinal_dataset,
title = { CatandDogFinal Dataset },
type = { Open Source Dataset },
author = { VGG },
howpublished = { \url{ https://universe.roboflow.com/catanddog-y8x87/catanddogfinal } },
url = { https://universe.roboflow.com/catanddog-y8x87/catanddogfinal },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { apr },
note = { visited on 2026-07-29 },
}