[Project Addition]: Human Detection on Railway Tracks for Suicide Prevention about dl-simplified HOT 6 OPEN

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from dl-simplified.

You need to implement at least 3 models for this project and find out the best fitted one by comparing the accuracy scores of the models implemented. Please mention the models you are planning to implement here for this problem statement.

@vishuhere

from dl-simplified.

Model: YOLOv8

Had worked on this project earlier and YOLOv8 is the best fitted model So far.

It has one of the fastest inference speed, and could be accelerated using GPU.

from dl-simplified.

Model: YOLOv8

Had worked on this project earlier and YOLOv8 is the best fitted model So far.

It has one of the fastest inference speed, and could be accelerated using GPU.

What will be the other two models for this project?

from dl-simplified.

Sure! I apologize for misunderstanding what you were trying to convey me earlier.

-Here are the top 3 models we can implement and compare their performance:

1. YOLOv8 (You Only Look Once, Version 8):

The latest iteration in the YOLO family, renowned for its real-time object detection capabilities, offering a balance of high accuracy and speed.

2. Faster R-CNN (Region-based Convolutional Neural Networks):

A two-stage object detection model known for its precision. It first proposes regions where objects might be located and then classifies those regions.

3. EfficientDet:

A state-of-the-art object detection model that achieves a balance between accuracy and efficiency through compound scaling, optimizing both the backbone network and the feature network.

from dl-simplified.

Assigned @vishuhere

from dl-simplified.