Search Results for author: Michael Shenoda

Found 3 papers, 2 papers with code

DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion Models

1 code implementation1 Sep 2023 Michael Shenoda, Edward Kim

Generating high-quality labeled image datasets is crucial for training accurate and robust machine learning models in the field of computer vision.

Image Generation

Real-time Object Detection: YOLOv1 Re-Implementation in PyTorch

no code implementations28 May 2023 Michael Shenoda

Real-time object detection is a crucial problem to solve when in comes to computer vision systems that needs to make appropriate decision based on detection in a timely manner.

Object object-detection +1

Lighting and Rotation Invariant Real-time Vehicle Wheel Detector based on YOLOv5

1 code implementation28 May 2023 Michael Shenoda

Vehicle wheel is one of those example that been chosen to demonstrate the approach of creating a lighting and rotation invariant real-time detector based on YOLOv5 architecture.

Object object-detection +1

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