Underwater Object Segmentation Using MonkAI
Author(s): Omkar Tupe Photo by NOAA on Unsplash Computer Vision Table of contents About the project Monk Toolkit Segmentation Unet Inference based on an already trained model Training Inference(Post Training) Conclusion References 1. About the project This project focuses on segmenting different objects such as animals, plants, …
70+ Image Classification Datasets from different industry domains — Part 2
Author(s): Abhishek Annamraju A list of single and multi-class Image Classification datasets (With colab notebooks for training and inference) to explore and experiment with different algorithms on! Free to use Image. Credits In the part-1 of this two-part blog series, a list of …
DeepFakes in 5 minutes
Author(s): Louis (What’s AI) Bouchard Understand how deepfakes work and create your own! Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
50+ Object Detection Datasets from different industry domains
Author(s): Abhishek Annamraju Computer Vision A list of object detection and image segmentation datasets (With colab notebooks for training and inference) to explore and experiment with different algorithms on! Free to use Image. Credits Computer Vision is such a fast-paced field that everyday …
Detection of Soccer Players from Thermal Images using Monk AI
Author(s): Kushagra Awasthi Computer Vision Making computer vision easy with Monk, low code Deep Learning tool, and a unified wrapper for computer vision. Introduction In this tutorial, we will be making an object detection application using the thermal image dataset from an indoor …
Introduction to CNNs Without using MNIST!
Author(s): Pratik Kumar An introduction to CNN with an easily accessible dataset for beginners in deep learning. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
This AI removes the water from underwater images!
Author(s): Louis Bouchard Have you ever wondered how the ocean would look like without water? Researchers recently achieved that by using computer vision algorithms! Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Detecting Marine Creatures using the Monk Object Detection Library
Author(s): Aanisha Bhattacharyya Computer Vision The Monk Object Detection Library is a low code library to perform object detection very easily and efficiently. Source: Unsplash About the project: Brackish water creatures as fish, crabs, prawns are consumed by people all over the world. …
What is Perspective Warping ? | OpenCV and Python
Author(s): G SowmiyaNarayanan A step-by-step guide to apply perspective transformation on images Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Reconstruct Photorealistic Scenes from Tourists’ Public Photos on the Internet!
Author(s): Louis Bouchard Using tourists public photos from the internet, they were able to reconstruct viewpoints of a scene conserving the realistic shadows! Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
What is a Canny Edge Detection Algorithm?
Author(s): Charanraj Shetty Computer Vision A Canny edge detector is a multi-step algorithm to detect the edges for any input image. It involves the below-mentioned steps to be followed while detecting edges of an image. 1. Removal of noise in input image using …
CVML Annotation — What it is and How to Convert it?
Author(s): Rohit Verma Computer Vision, Deep Learning CVML Annotation — What it is and How to Convert it? This article is about CMVL annotation format, and how they can be converted to other annotation formats. Photo by Lenin Estrada on Unsplash In January of 2004, a research …
Easing up the process of Tensorflow 2.0 Object Detection API and TensorRT
Author(s): Abhishek Annamraju Computer Vision Detailed steps to train your own object detector with Monk’s TF-Object-Detection-API, optimize using TensorRT and run inference on GPU systems The entire code is available as a jupyter notebook at Monk Object Detection Library Every computer vision engineer …
ECCV 2020 Best Paper Award | A New Architecture For Optical Flow
Author(s): Louis Bouchard Computer Vision, Research Photo by Cris Ovalle on Unsplash ECCV 2020 Best Paper Award Goes to Princeton Team.They developed a new end-to-end trainable model for optical flow.Their method beats state-of-the-art architectures’ accuracy across multiple datasets and is way more efficient. They …
Flask Web Application with Python
Author(s): Sharon Lim Develop a Convolutional Neural Network model and deploy it as a web application using Flask Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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