Code to mass download images from Google Images using JavaScript Console Window and python script.

PyTorch tutorial for computer vision

Number detection implemented using TensorFlow with custom CNN architecture for fast inference and custom dataset

Yolov3_Tiny hardhat detection using Tensorflow

Pytorch implements yolov3.Good performance, easy to use, fast speed.

Implement image classification in pytorch

A chatbot based on OpenAI, suitable for enterprise privatized data fine-tuning. It can answer various questions related to enterprise products raised by users.

Part Grouping Network (PGN) implementation in TensorFlow, for custom parsing dataset

Using Keras MobileNet-v2 model with your custom images dataset

Custom keypoint detection using Tensorflow object detection API

This is a deep learning network: ResNet with an attention layer that can be used on a custom data set.

Implementation of YOLO Version 2 in Pytorch 1.4

Instance Segmentation using Mask R-CNN on a Custom Dataset

Instance segmentation using Detectron 2

Custom Dataset Training pipeline using Pytorch and Meta's object detection model DETR.

Contribution for Traffic Sign Detection and Warning System in real time with Custom Dataset & YOLOv8.

A implementation of Faster RCNN model

Created to explain how to use DataLoader effectively in PyTorch.

FoodVision is an Image Classification model that is fine tuned on a Vision Transformer Model. A custom dataset was created to include 121 classes of different foods from Indian and other different cuisines. In total over 100,000 images were used to finetune the model to correctly classify foods.