Bullet hole object detection Computer Vision Project

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Classes (13)
Bullet_0
Bullet_1
Bullet_10
Bullet_2
Bullet_3
Bullet_4
Bullet_5
Bullet_6
Bullet_7
Bullet_8
Bullet_9
Target
black_contour

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Description

Here are a few use cases for this project:

  1. Shooting Accuracy Analysis: The "project" model can be used by shooting instructors and trainees to evaluate their shooting precision and accuracy based on the placement of bullet holes on a target. This use could apply to military training, police force training, and individual gun owners who practice at shooting ranges.

  2. Sports Competition Scoring: It can be used in sports shooting competitions to automatically score participants based on bullet holes' relative positions on the target. This would enable a more efficient, unbiased, and accurate scoring process.

  3. Forensic Investigation: The model may be employed by forensic experts to analyze gunshot patterns or simulate specific shooting scenarios, facilitating their understanding of various criminal cases involving firearms.

  4. Ballistics Research: The computer vision model can be useful for ballistics researchers testing the performance of different ammunition or firearm types. By recognizing and categorizing bullet holes, the model can provide valuable data regarding bullet trajectory, speed, and impact.

  5. Automatic Damage Assessment: In military or defense applications, the model could be used to automatically assess damage in shooting tests on different types of armor or materials. Comparing the placement and number of holes could give insights into the effectiveness of the armor or material under testing.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            bullet-hole-object-detection_dataset,
                            title = { Bullet hole object detection Dataset },
                            type = { Open Source Dataset },
                            author = { Project bat bullet hole detection },
                            howpublished = { \url{ https://universe.roboflow.com/project-bat-bullet-hole-detection/bullet-hole-object-detection } },
                            url = { https://universe.roboflow.com/project-bat-bullet-hole-detection/bullet-hole-object-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2024-12-25 },
                            }