Heartbeat

JULY 17, 2023

[link] Transfer learning using pre-trained computer vision models has become essential in modern computer vision applications. In this article, we will explore the process of fine-tuning computer vision models using PyTorch and monitoring the results using Comet. Pre-trained models, such as VGG, ResNet.

Computer Vision 52

Computer Vision Auto-classification Deep Learning Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 12, 2025

Machine learning (ML) engineers must make trade-offs and prioritize the most important factors for their specific use case and business requirements. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

Auto-classification 95

Auto-classification Metadata Generative AI Machine Learning 95

The MLOps Blog

JUNE 27, 2023

Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. The platform provides a comprehensive set of annotation tools, including object detection, segmentation, and classification. Robust security functionality.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Pickl AI

JANUARY 23, 2023

This framework can perform classification, regression, etc., Most of the organizations make use of Caffe in order to deal with computer vision and classification related problems. Pros It’s very efficient to perform auto ML along with H2O. It is an open source framework. It is very fast and supports GPU.

Machine Learning 52

Machine Learning ML Neural Network Auto-classification 52