9 Best Articles in 2022
pjreddie.com
YOLO: Real-Time Object Detection
pjreddie.com
7 min read · From 2017 · You only look once (YOLO) is a state-of-the-art, real-time object detection system. On a Titan X it processes images at 40-90 FPS and has a mAP on VOC 2007 of 78.6% and a mAP of 48.1% on COCO test…
Reader View · Shared by 84, including Jesús Torres 👩💻, Moritz Klack, von Moerenburgh, Data Science Renee, Clemens, programarfacil.com, Balda, William El Kaim, Mattia Fregola 🤔, Fabricio Teixeira, rohit, StanChan, Alexander Seifert
cv-tricks.com
Zero to Hero: Guide to Object Detection using Deep Learning: Faster R-CNN,YOLO,SSD
cv-tricks.com
9 min read · From 2017 · In this post, I shall explain object detection and various algorithms like Faster R-CNN, YOLO, SSD. We shall start from beginners' level and go till the state-of-the-art in object detection,…
Reader View · Shared by 69, including Rodrigo Prior, janfsauer, Howard Getson, Thomas Power, Ward Plunet, Peter Wennersten, 𝐦𝐫𝐯𝐧 , Clemens, Jesús Torres 👩💻, Thomas Telandro, Nico Müller 🇺🇦
TechCrunch
Google releases new TensorFlow Object Detection API
TechCrunch
5 min read · From 2017 · Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. Google is trying..
Reader View · Shared by 46, including Joe Lencioni, Leslie D, Thomas Telandro, Thomas Power
Towards Data Science
12 Papers You Should Read to Understand Object Detection in the Deep Learning Era
Towards Data Science
2020-08-10 · A quick walkthrough of the best object detection papers in a decade to help you learn more advanced computer vision
Reader View · Shared by 28, including Dr. Ganapathi Pulipaka 🇺🇸, Thomas Telandro
cv-tricks.com
Object Detection using Single Shot Multibox Detector
cv-tricks.com
10 min read · From 2018 · In a previous post, we covered various methods of object detection using deep learning. In this blog, I will cover Single Shot Multibox Detector in more details. SSD is one of the most popular object
Reader View · Shared by 23, including Ward Plunet, Natacha Quester-Séméon Salomon, Howard Getson, Earnest Jet
Google Cloud
Vision API - Image Content Analysis — Google Cloud Platform
Google Cloud
7 min read · From 2015 · Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Reader View · Shared by 70, including zeldman, non_lo_so._, Cameron Yick, Joe Lencioni, Bill Slawski ⚓ 🇺🇦, nuuk, Johannes Lenz, Lily Ray 😏
cv-tricks.com
Zero to Hero: Guide to Object Detection using Deep Learning: Faster R-CNN,YOLO,SSD
cv-tricks.com
9 min read · From 2018 · In this post, I shall explain object detection and various algorithms like Faster R-CNN, YOLO, SSD. We shall start from beginners' level and go till the state-of-the-art in object detection, understanding the intuition, approach and salient features of each method.
Reader View · Shared by 17, including Martina Pugliese, Harold Sinnott 📱📲, ipfconline 🇺🇦
lionbridge.ai
Everything You Need to Know About Object Detection Systems
lionbridge.ai
~15 min read · 2020-11-26 · in this post we distill the history of object detection into a simple explanation that covers everything you need to know about object detection and instance segmentation.
Reader View · Shared by 21, including Gengo 🦁, Theodora (Theo) Lau - 劉䂀曼 🌻, Terence Mills, ipfconline 🇺🇦, @wef @davos #wef22 R “Ray” Wang 王瑞光 #1A Metaverse
research.fb.com
Facebook open sources Detectron
research.fb.com
1 min read · From 2018 · Today, Facebook AI Research (FAIR) open sourced Detectron — our state-of-the-art platform for object detection research. The Detectron project was started in July 2016 with the goal of creating a fast…
Reader View · Shared by 115, including Massimiliano Aroffo, williamw, Charlie O'Keefe, Oleg Baskov, Ward Plunet, Florian Hanke 🍎, Mo Schuster, Nils Hitze, Chris Messina, Thomas Power, A thinking meat, Rodrigo Prior, Ⓓarío Macchi, Ha Duong, Grégoire Japiot 🌻, Dayyan Smith, Thomas Telandro
Trending
TNW
FOMO is a TinyML neural network for real-time object detection
TNW
5 min read · Apr 24th · FOMO is a deep learning object detection model that weighs less than 200 kilobytes.
Reader View · Shared by 13, including Merkstatt, Bob E. Hayes
AI Papers
Exploring Plain Vision Transformer Backbones for Object Detection
AI Papers
1 min read · Apr 1st · We explore the plain, non-hierarchical Vision Transformer (ViT) as a backbone network for object detection. This design enables the original ViT architecture to be fine-tuned for object detection…
Shared by 7, including Sebastian Raschka, AIKing.Eth - Vincent Boucher
Google AI
Pix2Seq: A New Language Interface for Object Detection
Google AI
5 min read · Apr 22nd · Posted by Ting Chen and David Fleet, Research Scientists, Google Research, Brain Team Object detection is a long-standing computer visio...
Reader View · Shared by 7, including Kirk Borne
youtube.com
Common pitfalls to avoid in Object Detection Datasets #YOLO #YOLOv5 #ObjectDetection #DeepLearning
youtube.com
May 17th · Learn about the #best-practices in creating #high-quality #datasets for #Object #Detection. “#Data is the new Oil” — Unrefined and Unpolished data will only ...
Shared by 6, including Satya Mallick
More like this
Data Science Central
Deep Learning for Object Detection: A Comprehensive Review
Data Science Central
1 min read · 2020-06-21 · This article was written by Joyce Xu. With the rise of autonomous vehicles, smart video surveillance, facial detection and various people counting application…
Reader View · Shared by 27, including ipfconline 🇺🇦, Kirk Borne, Dr. Ganapathi Pulipaka 🇺🇸
VentureBeat
Google AI open-sources EfficientDet for state-of-the-art object detection
VentureBeat
2 min read · From 2020 · Google AI engineers open-sourced EfficientDet, object detection AI that's more accurate with less compute than the previously most advanced model.
Reader View · Shared by 13, including Matt Shaffer, Rick King
github.com
facebookresearch/detectron2
github.com
From 2019 · Detectron2 is FAIR's next-generation research platform for object detection and segmentation. - facebookresearch/detectron2
Shared by 23, including Yann LeCun, Real Python, Balda, Nico Müller 🇺🇦, Alexander Seifert
TensorFlow
Custom object detection in the browser using TensorFlow.js
TensorFlow
~13 min read · 2021-01-22 · Train a custom MobileNetV2 using the TensorFlow 2 Object Detection API and Google Colab for object detection, convert the model to TensorFlow.js
Reader View · Shared by 11, including anildash
TNW
FOMO is a TinyML neural network for real-time object detection
TNW
5 min read · Apr 24th · FOMO is a deep learning object detection model that weighs less than 200 kilobytes.
Reader View · Shared by 13, including Merkstatt, Bob E. Hayes
machinethink.net
Real-time object detection with YOLO
machinethink.net
~13 min read · From 2017 · Object detection is one of the classical problems in computer vision: Recognize what the objects are inside a given image and also where they are in the image. Detection is a more complex problem than…
Reader View · Shared by 10, including Alexandre Joly, Daniel Williams
Data Science Central
Object Detection with 10 lines of code
Data Science Central
2 min read · From 2019 · This article was written by Moses Olafenwa. One of the important fields of Artificial Intelligence is Computer Vision. Computer Vision is the science of comput…
Reader View · Shared by 32, including Kirk Borne, Dr. Craig Brown, Jennifer Stirrup - Next: #WWDVC #AI #Data #keynote, Dr. Ganapathi Pulipaka 🇺🇸, Terence Mills, Ronald van Loon, Marc R Gagné MAPP 🍁, Marcus Borba
blog.filestack.com
Evaluating Detectron, Facebook's Object Detection Platform • Filestack Blog
blog.filestack.com
3 min read · From 2018 · Learn about Detectron, Facebook's open-source platform for object detection. Read implementation recommendations and best practices when using Detectron.
Reader View · Shared by 13, including Natacha Quester-Séméon Salomon, Howard Getson, janfsauer
github.com
facebookresearch/Detectron
github.com
From 2018 · Detectron - FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Shared by 16, including David Garner, Nico Müller 🇺🇦, Chintan Shah
