Summary of Object Detection Approaches to Identifying Hand Images with High Forensic Values, by Thanh Thi Nguyen et al.
Object Detection Approaches to Identifying Hand Images with High Forensic Values
by Thanh Thi Nguyen, Campbell Wilson, Imad Khan, Janis Dalins
First submitted to arxiv on: 21 Dec 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 The paper compares various machine learning approaches to hand detection and presents the application results of employing the best-performing model to identify images of significance in forensic contexts. The study fine-tunes YOLOv8 and vision transformer-based object detection models on four hand image datasets, including the 11k hands dataset with bounding boxes annotated by a semi-automatic approach. Two variants of YOLOv8 (nano and extra-large) and two vision transformer variants (DETR and DETA) are used for experiments. The results show that YOLOv8 models outperform DETR and DETA on all datasets, achieving superior performance compared to existing hand detection methods based on YOLOv3 and YOLOv4 models. Applications of fine-tuned YOLOv8 models for identifying high-value forensic images produce excellent results, significantly reducing the time required by experts. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper compares different machine learning approaches for detecting hands in images. It looks at how well these methods work using real-world data and shows that one type of method (YOLOv8) does better than others. This is important because it could help forensic scientists quickly identify important clues in investigations. The study uses a lot of data with hand images and has the best-performing model find high-value images. |
Keywords
» Artificial intelligence » Machine learning » Object detection » Vision transformer
