TilakD/2D-Road-Object-Detection

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Python
Created almost 5 years ago
Updated over 1 year ago

TilakD/2D-Road-Object-Detection

TilakD

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Road Object Detection using Deep Learning, based on tensorflow framework and BDD100k dataset

Car-Damage-Analysis-App

Assessing external car damage, i.e., severity and location using Deep Learning and deploy it using flask and tensorflow serving.

Jupyter Notebook

Object-detection-and-segmentation-for-self-driving-cars

Utilize bdd100k dataset and mask r-cnn to detect and recognize objects for self driving cars

Jupyter Notebook

Semantic-similarity-extraction-using-word-vectors-in-Mahabharata-dataset

Semantic similarity extraction using word vectors in Mahabharata dataset

Jupyter Notebook

Monocular-Depth-Estimation-Argoverse

Monocular depth estimation from ArgoAI's Lidar based Depth dataset - Depth predictions up-to 200m

Active-shape-model_Image-Processing_Face_detection

Active shape model_Image Processing_Face_detection

Triplet_Loss_Classification

Utilize Triplet Loss and mean shift based calibration for Classification - This project shows a working concept for pose classification

Kannada-Natural-Language-Processing---Deep-Learning

Cyclone-PSO-detection-tracking-and-prediction

Udacity_AIND_Planning

n this project, you will define a group of problems in classical PDDL (Planning Domain Definition Language) for the air cargo domain discussed in the lectures