View source for 18150426. Multi-Scale Model Ensemble for Classification of Objects simplified abstract (GOOGLE LLC)

=Multi-Scale Model Ensemble for Classification of Objects=


==Organization Name==

[[:Category:GOOGLE LLC|GOOGLE LLC]]


[[Category:GOOGLE LLC]]

==Inventor(s)==

[[:Category:Yaojie Liu of Mountain View CA (US)|Yaojie Liu of Mountain View CA (US)]][[Category:Yaojie Liu of Mountain View CA (US)]]

[[:Category:Wen-Sheng Chu of Santa Clara CA (US)|Wen-Sheng Chu of Santa Clara CA (US)]][[Category:Wen-Sheng Chu of Santa Clara CA (US)]]

==Multi-Scale Model Ensemble for Classification of Objects - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18150426 titled 'Multi-Scale Model Ensemble for Classification of Objects

**Simplified Explanation:**
A multi-scale model ensemble has been developed for detecting objects in images, which can be used for object identification tasks at various crop levels.

**Key Features and Innovation:**
* Multi-scale model ensemble for object detection in images.
* Can positively identify desired objects in image or video data.
* Utilizes a variety of different crop levels for enhanced accuracy.

**Potential Applications:**
* Surveillance systems for identifying specific objects in crowded scenes.
* Autonomous vehicles for detecting obstacles and pedestrians.
* Medical imaging for identifying anomalies in scans.
* Quality control in manufacturing for detecting defects in products.

**Problems Solved:**
* Enhances object detection accuracy in images.
* Provides a versatile solution for object identification tasks.
* Improves efficiency in various industries reliant on image analysis.

**Benefits:**
* Increased accuracy in object detection.
* Versatile application across different industries.
* Enhanced efficiency and productivity in image analysis tasks.

**Commercial Applications:**
The technology can be utilized in industries such as surveillance, autonomous vehicles, medical imaging, and manufacturing for improved object detection and identification tasks.

**Questions about object detection technology:**
1. How does the multi-scale model ensemble improve object detection accuracy?
2. What are the potential applications of this technology in the medical field?


==Original Abstract Submitted==

Provided is a multi-scale model ensemble for detection of objects in images. The model ensemble can be applied, for example, in the context of performing object identification activities, such as positively identifying desired objects in image data or video data using a variety of different crop levels.



[[Category:G06V40/16]]
[[Category:G06V10/26]]
[[Category:G06V10/764]]
[[Category:CPC_G06V40/172]]