Pinned Repositories
Cattle_Classification_with_Pytorch
This project aims to classify seven cattle breeds (Angus, Charolais, Hereford, Holstein, Jersey, Simmental, Montofon) using deep learning techniques. Accurate detection of cattle species is crucial for effective farm management and breeding programs. The project utilizes the ResNet50 architecture, fine-tuned with PyTorch, and includes data preproce
Object-detection-with-YOLO
This project demonstrates the use of YOLO (You Only Look Once) for object detection in both images and videos. YOLO is a state-of-the-art, real-time object detection system that is widely used in various computer vision applications.
Youtube_Transcript_Summarizer
This project uses Large Language Models (LLMs) to generate summaries of YouTube videos. By providing the URL of a YouTube video, the tool processes the video content and delivers a concise summary.
langchain
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KHRMNKY's Repositories
KHRMNKY/Cattle_Classification_with_Pytorch
This project aims to classify seven cattle breeds (Angus, Charolais, Hereford, Holstein, Jersey, Simmental, Montofon) using deep learning techniques. Accurate detection of cattle species is crucial for effective farm management and breeding programs. The project utilizes the ResNet50 architecture, fine-tuned with PyTorch, and includes data preproce
KHRMNKY/Object-detection-with-YOLO
This project demonstrates the use of YOLO (You Only Look Once) for object detection in both images and videos. YOLO is a state-of-the-art, real-time object detection system that is widely used in various computer vision applications.
KHRMNKY/Youtube_Transcript_Summarizer
This project uses Large Language Models (LLMs) to generate summaries of YouTube videos. By providing the URL of a YouTube video, the tool processes the video content and delivers a concise summary.