CatoCam Computer Vision Dataset
About CatoCam Dataset
This dataset contains images from domestic cctv cameras with anotations for cats, birds and humans. Because the images are taken from cctv cameras, they are images from above the subject. The images are both colour and grey scale (infrared night vision).
The dataset is used to train a yolov8 model to detect cats for use in a the CatoCam/CatoZap cat deterrent project (https://github.com/jones139/catocam).
Use Free Cat, Bird and Human 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": "Cat, Bird, Human"
},
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{ catocam-vysum_dataset,
title = { CatoCam Dataset },
type = { Open Source Dataset },
author = { PoolSafety },
howpublished = { \url{ https://universe.roboflow.com/poolsafety/catocam-vysum } },
url = { https://universe.roboflow.com/poolsafety/catocam-vysum },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2026 },
month = { feb },
note = { visited on 2026-07-29 },
}