AarohiSingla

Faster-R-CNN

Faster-R-CNN-on-Custom-Dataset

Implemented Faster R CNN on Custom Dataset

Image-Classification-Using-EfficientNets

Series of EfficientNets (B0 to B7)

Image-Classification-Using-Vision-transformer

Image Classification Using Vision transformer from Scractch

Mask-R-CNN-on-Custom-Dataset

Object-Detection-Web-App-Using-YOLOv7-and-Flask

Object Detection Web App Using YOLOv7 and Flask

Plant-Disease-Detection-Using-Mask-R-CNN

TFLite-Object-Detection-Android-App-Tutorial-Using-YOLOv5

Video-Classifier-Using-CNN-and-RNN

YOLO-NAS

Implementation on Custom Dataset

AarohiSingla/Image-Classification-Using-Vision-transformer

Image Classification Using Vision transformer from Scractch

AarohiSingla/Plant-Disease-Detection-Using-Mask-R-CNN

AarohiSingla/Automatic-Number-Plate-Recognition--ANPR-

Automatic Number Plate Recognition (ANPR) Using YOLOv8 and easyOCR

AarohiSingla/Tracking-and-counting-Using-YOLOv8-and-DeepSORT

Tracking and counting persons

AarohiSingla/Object-Detection-Android-App

AarohiSingla/Open3D-Tutorial

AarohiSingla/YOLOv9

YOLOv9 Implementation on Custom dataset

AarohiSingla/Object-Detection-Web-Application-with-Flask-and-YOLOv9

Object Detection Web Application with Flask and YOLOv9

AarohiSingla/Speed-detection-of-vehicles

Speed estimation of Cars using YOLOv8 and speed calculation formula

AarohiSingla/Track-and-Count-Using-yolov9

Detect, track and count using yolov9 and Bytetrack tracker

AarohiSingla/Image-Classification-Using-Pytorch

Image classification on custom dataset

AarohiSingla/Vehicle-Couning

Tracking and Counting Vehicles using Yolov8

AarohiSingla/YOLOv10-Custom-Object-Detection

YOLOv10 on custom dataset

AarohiSingla/Oriented-Bounding-Boxes

Oriented Bounding Boxes Object Detection

AarohiSingla/Detect--track-and-Count-using-YOLOv8

Step-by-step tutorial where you'll master the art of vehicle detection, tracking, and directional counting using YOLOv8

AarohiSingla/Image-Captioning

Image captioning using CNN and RNN

AarohiSingla/pytorch-for-deep-learning

This course will guide you from the basics to advanced learning in PyTorch.

AarohiSingla/DeciDiffusion

DeciDiffusion 1.0 is a groundbreaking text-to-image latent diffusion model introduced by Deci.

AarohiSingla/DeciLM-6B

Loading and testing deciLM 6B model

AarohiSingla/Multi-Object-Tracking-with-Ultralytics-YOLO

Object tracking

AarohiSingla/Object-tracking-Using-YOLOv9

Object tracking Using YOLOv9 through Ultralytics package

AarohiSingla/YOLO-World

YOLO-World mplementation

AarohiSingla/Image_classification_using_pytorch

Image classification using Simple neural network using Pytorch

AarohiSingla/INstance-Segmentatio-Using-YOLOv9

AarohiSingla/PPE--Detection

PPE Detection Using YOLO-World

AarohiSingla/Vehicle-and-pedestrian-detection

Vehicle and pedestrian detection Using YOLO-NAS and Kitti dataset.

AarohiSingla/YOLO-NAS-Pose-

POse Estimation Model

AarohiSingla/Anomaly-Detection

Anomaly detection (Pytorch)

AarohiSingla/FasterViT

Fast Vision Transformers with Hierarchical Attention

AarohiSingla/image_captioning-1

Automatic Image Captioning using PyTorch on MS COCO dataset