Summary of Development Of Image Collection Method Using Yolo and Siamese Network, by Chan Young Shin et al.
Development of Image Collection Method Using YOLO and Siamese Network
by Chan Young Shin, Ah Hyun Lee, Jun Young Lee, Ji Min Lee, Soo Jin Park
First submitted to arxiv on: 16 Oct 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A new approach for efficient and accurate web data collection is proposed, addressing the limitations of traditional methods. The authors develop an image reclassification system that combines object recognition using YOLOv10 with distance output from a Siamese network, achieving higher performance compared to other classification models (average f1 score: 0.772). This system enables users to balance data quality and noise robustness by specifying a distance threshold. Additionally, the study highlights the potential of the Siamese network for efficient processing using cropped images, reducing resource requirements while maintaining high performance (Class 20 mean-based f1 score: 82.31). |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine you want to collect lots of data from the internet, but it takes too long and costs a lot of money when done by humans. Scientists have come up with ways to use computers to collect this data instead. One method is called web crawling, but sometimes unwanted data gets collected along with what’s needed. A new approach uses an object recognition model called YOLOv10 to filter out the extra data. However, some data still might not get filtered properly. To solve this problem, researchers used another technique called image reclassification that combines two models. This way, the system can collect better quality data faster and with fewer resources than before. |
Keywords
» Artificial intelligence » Classification » F1 score » Siamese network
