Object Detection Using Yolov11 Model

Introduction This project builds on Ultralytics repository, utilizing YOLOv11 model for object detection on COCO dataset, which contains 122,000 natural images across 80 object classes. Using Tensorleap, we analyze the model’s latent space, uncover hidden patterns, identify mislabeled samples, in order to improve model performance and dataset quality. Tensorleap Platform Tensorleap is a platform for […]

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.