Original article was published on Deep Learning on Medium
Object Detection Zoo PART-3 | Baseball Bat and Gloves Detection
In the times of pandemic, everyone is so scared and locked in the houses. Worst times than this have passed and this will end soon too.
Well, there are some positive sides of pandemic too, since everyone is locked in their own houses, all of them have lots of time to enhance their skills, be creative, and upgrade their career. This is one of the many possible positive sides obviously!
I am doing a similar kinda thing, being creative!
Let’s discuss today’s topic, “Baseball bat and gloves detection”. Seriously ?? How’s gonna this help? What are the use-cases? What one could possibly do by detecting some baseball bat?
Well as I said in earlier posts, it’s all about imagination! 😄
I guarantee you by end of the story you might believe that baseball bat detection can have a robust use-case.
Let’s first discuss some facts related to this.
“Baseball bats, although meant for recreational use, are commonly used as assault weapons. Here in the UK, assault is more likely to occur with body parts only: however, a trend for using baseball bats has been observed both by emergency departments and the police. The bat is an easily acquired weapon, a simple wooden one being available for £15 at a sports store. At present, there are no restrictions on the purchase of these bats that represent a major cause of morbidity and occasionally mortality when used in an assault.”
The injuries sustained fell into three broad categories:
- Facial trauma — 6 (30%) cases: 3 nasal fractures, 2 malar fractures, 1 zygomatic arch fracture.
- Head injury — 8 (40%) cases: mostly minor injuries and scalp lacerations, no skull fractures or intracranial injury in this study.
- Extremity trauma — 6 (30%) cases: 5 soft‐tissue injuries to the upper limb, 1 tibia fracture.
The patient outcomes were recorded as follows:
- Discharged no review: 4 (20%) cases.
- Discharged with clinic (emergency department of maxillofacial) review: 8 (40%) cases.
- Admitted to hospital: 8 (40%) cases.
So I think this makes clear, Why I choose baseball bat detection.
Now let’s discuss possible use-cases.
- This object detection can be used in public areas, events, or parties where the organizers or government wants to prevent these kinds of objects from entering.
- Baseball detection is also useful to detect violence from security cameras. Of course, this will require some extra efforts, we may need to embed this with any activity recognition algorithm.
Wondering about gloves detection? It’s just a complimentary serving.
Both models have trained differently anyways. I just have merged their outputs.
Some of these use-cases may not make any sense,
Maybe you can think of a better use-case/application for this!
In the end, it’s all about the individual’s capacity for imagination and thinking.
You can contact me for the weights/model via,
My GitHub profile,
Any feedback or suggestions would be appreciated.