Open TAHIR0110 opened 6 months ago
@TAHIR0110 , I believe this could be done using a simple single shot object detector trained on some common animals dataset. Kindly assign me this issue as gssoc.
Solution: To tackle the task of detecting animals on roads, we will employ a machine learning model utilizing object detection techniques. The model will be trained on a dataset containing images of road scenes with annotations marking the presence and location of animals. We will utilize state-of-the-art pre-trained models such as YOLOv5 or Faster R-CNN, leveraging their ability to detect objects in images efficiently.
Why Me: As a seasoned contributor with a background in machine learning and computer vision, I bring relevant expertise to this project. My experience includes working with object detection models and implementing them in real-world scenarios. Additionally, I have a strong understanding of the underlying principles of convolutional neural networks, bolstered by my research and project work in this area. With a proven track record of delivering impactful solutions, I am well-positioned to contribute effectively to the development of this animal detection system for road safety.
assign this task to me !
@TAHIR0110 I have worked on a project for Pothole Detection for Road Safety using YOLO. I could do the same in this case. Could you assign me for GSSoC'24?
@TAHIR0110 I'm interested to work on this issue under GSSOC'24 Could you please assign this to me
@Hetul16 assigned!
Thank you for giving me this task!
@TAHIR0110 please assign me this issue , I am a GSSOC'24 contributor
I would like to contribute to the project by developing a machine learning model to detect animals in road scenes, helping to prevent accidents. The model will use object detection techniques to identify and localize animals on the road.
I would like to assign it to me under GSSOC24 ?
I would like to work on this issue ,kindly assign me this issue
The task aims to develop a machine learning model capable of analysing road scenes to detect the presence of animals in the middle of the road, thereby mitigating the risk of road accidents. Through object detection techniques, the model will learn to identify and localise animals within the road environment.