Enhancing ADAS Object Detection with YOLOv7: Overcoming Data Shifts through Latent Space Analysis and Efficient Data Synthesis

Tensorleap enables efficient exploration of a model’s latent space to detect data shifts in unseen samples, including unlabeled data. This repository showcases how to detect and address such issues, specifically within an object detection task for ADAS.

CityScapes – Object Detection

This project utilizes the YOLOv7 model to perform object detection task on Cityscapes dataset. The cityscapes dataset is a large-scale dataset that stands as one of the standard advanced driver-assistance system (ADAS) benchmarks for multiple vision-related tasks.