April 22, 2024, 2:30 p.m. | Jimmy Guerrero

DEV Community dev.to

Author: Jacob Marks (Machine Learning Engineer at Voxel51)





Using Slicing Aided Hyper Inference



Object detection is one of the fundamental tasks in computer vision. At a high level, it involves predicting the locations and classes of objects in an image. State-of-the-art (SOTA) deep learning models like those in the You-Only-Look-Once (YOLO) family have reached remarkable levels of accuracy. However, one notoriously challenging frontier in object detection is small objects.


In this post, you will learn how to detect small …

ai art author computer computer vision computervision datascience deep learning detection engineer family fundamental image inference locations look machine machine learning machinelearning machine learning engineer marks object objects slicing small sota state tasks vision voxel51 yolo

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York