pet recognition using (for now) basic LBPH features comparing and Yolov3 detection + HaarCascade detection
-
Updated
Jul 8, 2020 - Jupyter Notebook
pet recognition using (for now) basic LBPH features comparing and Yolov3 detection + HaarCascade detection
Edge AI SDK for face recognition & cat/dog individual recognition — public headers, docs & samples. Contact us for a trial library.
🐾 Implement a U-Net model for pet image segmentation, accurately classifying pets, backgrounds, and borders using the Oxford-IIIT Pet dataset.
UNet and DeepLabV3 for instance segmentation. Starting from a rgb image of a pet the network should output a segmentation mask of the pet. Deep Learning and Generative Models' practical project developed in 2025.
AI-powered smart pet access control system using ResNet18 transfer learning, PyTorch, OpenCV, and Streamlit.
🐾 FurVision: Advanced CNN for Cat/Dog Classification
Android App to recognize your pet through AI
Add a description, image, and links to the pet-recognition topic page so that developers can more easily learn about it.
To associate your repository with the pet-recognition topic, visit your repo's landing page and select "manage topics."