all AI news
I Tried Semantic Segmentation, and Here is What I Learned
July 4, 2022, 12:02 a.m. | Gaurav Sharma
Towards AI - Medium pub.towardsai.net
Introduction
Semantic segmentation is a pixel-wise classification task with many valuable applications, such as object detection and image retrieval. Despite its usefulness, semantic segmentation can be difficult to achieve good results on. In this blog post, I’ll share my experience of trying semantic segmentation for the first time and the lessons I learned from it.
What is semantic segmentation?
Semantic segmentation is a type of computer vision technology that allows for identifying objects within an image. This …
artificial intelligence object-detection segmentation semantic semantic-segmentation technology training data
More from pub.towardsai.net / Towards AI - Medium
Unpacking Kolmogorov-Arnold Networks
1 day, 19 hours ago |
pub.towardsai.net
How LLMs Know When to Stop Generating?
1 day, 21 hours ago |
pub.towardsai.net
Top Important LLM Papers for the Week from 29/04 to 05/05
2 days, 23 hours ago |
pub.towardsai.net
Hypothesis Testing Simplified.
3 days, 11 hours ago |
pub.towardsai.net
Jobs in AI, ML, Big Data
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