Arnav Raina

arnavr.neo

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

model computer vision object detection autonomous driving real-time object detection dvc git github

Automatic Toll Tax Collection With Vehicle Type And License Plate Recognition Using Deep Learning

computer vision object detection license plate recognition dvc git github

The PanoContext dataset contains 500 annotated cuboid layouts of indoor environments such as bedrooms and living rooms.

dataset dvc git 3d model

The LEGOv2 database is a parameterized and annotated version of the CMU Let’s Go database from 2006 and 2007. This spoken dialogue corpus contains interactions captured from the CMU Let’s Go (LG) System by Carnegie Mellon University in 2006 and 2007. It is based on raw log-files from the LG system. The corpus has been parameterized and annotated by the Dialogue Systems Group at Ulm University, Germany.

dataset audio dvc git