This is the Darknet/YOLO repo that we should all be using:
#darknet #yolo #neuralnetworks #objectdetection
Need To Pick Objects Out Of Images? Segment Anything Does Exactly That https://hackaday.com/2023/04/14/need-to-pick-objects-out-of-images-segment-anything-does-exactly-that/ #ArtificialIntelligence #machinelearning #objectdetection #machinevision #segment #ai
#ArtificialIntelligence #MachineLearning #objectdetection #machinevision #segment #ai
Need To Pick Objects Out Of Images? Segment Anything Does Exactly That - Segment Anything, recently released by Facebook Research, does something that most... - https://hackaday.com/2023/04/14/need-to-pick-objects-out-of-images-segment-anything-does-exactly-that/ #artificialintelligence #machinelearning #objectdetection #machinevision #segment #ai
#ai #segment #machinevision #objectdetection #machinelearning #artificialintelligence
Adversarial attacks as a way of understanding differences in #human and #machine "#perception"
Sorry for tired and dishevelled late night recording, but some parts are, even 3 yrs (and many models&methods) later, relevant to the current discourse
https://vimeo.com/475121381/4f7255ada3
#gestalt #sensemaking #humanmachinerelations #generativeAI #sentimentanalysis #objectdetection #ML #NLP #LLM #hmi #chatgpt #philosophy #technology
#human #machine #Perception #gestalt #sensemaking #humanmachinerelations #generativeai #SentimentAnalysis #objectdetection #ml #nlp #llm #hmi #chatgpt #philosophy #technology
Background modeling is an integral part of the foreground #objectdetection procedure. Can a Q-Tree based #backgroundmodeling technique lead to an improvement in overall performance?
Read more in a special issue paper “Background Modelling Using A Q-Tree Based Foreground Segmentation” by S Shahidha Banu and N Maheswari published in SCPE, Vol. 21, No. 1, (ISSN 1895-1767): https://tinyurl.com/h3eevuty
#objectdetection #backgroundmodeling
Background modeling is an integral part of the foreground #objectdetection procedure. Can a Q-Tree based #backgroundmodeling technique lead to an improvement in overall performance?
Read more in a special issue paper “Background Modelling Using A Q-Tree Based Foreground Segmentation” by S Shahidha Banu and N Maheswari published in SCPE, Vol. 21, No. 1, (ISSN 1895-1767): https://lnkd.in/du7xNXxZ
#objectdetection #backgroundmodeling
Hey #DH #CSS ppl! What is your favorite platform/method of generating labeled training data from images? Have about ten categories that I need to annotate and hoping to have at least 100 examples for each category. Also the dataset is historic Newspaper indices (so lots of weird tables and numbers)
I've known ppl who have used Makesense https://www.makesense.ai/ previously and also very much considering taking the plunge and buying a Prodigy https://prodi.gy/ license. So any advice would be appreciated!
#dh #css #computervision #objectdetection
Some exciting tests with #yolov8 #AI #objectdetection for mapping #beaver dams and lodges in #Alaska on #aerial #imagery with ~5-10 cm GSD.
Quite promising results for now.
Labelling and data preparation with #roboflow
#deeplearning
#yolov8 #ai #objectdetection #beaver #alaska #aerial #imagery #roboflow #deeplearning
@praxis Well, I worked for about 10 years in the #MapForce Team of #Altova https://www.altova.com/mapforce and I simply loved to integrate various standards like #XBRL #OOXML (Excel) and the internal engine for executing mapping. Furthermore code generators for #CSharp , #Java, #Cpp and exotic stuff like #XSLT and even #XQuery.
In a #ComputerVision startup company (2000-2006) I played around with #ObjectDetection #Fingerprint and used #SupportVectorMachine which were modern in that years.
#MapForce #Altova #XBRL #OOXML #csharp #java #cpp #xslt #xquery #computervision #objectdetection #fingerprint #SupportVectorMachine
✨ Diffusion meets Object Detection
📰 DiffusionDet: Diffusion Model for Object Detection
• It formulates object detection as a denoising diffusion process
from noisy boxes to object boxes
• At training, object boxes diffuse from ground-truth boxes to random distribution
• The model learns to reverse this noising process
• During inference, the model gradually refines a set of randomly generated boxes to refine the results
#newpaper #PaperThread #StableDiffusion #objectdetection
https://detector.uber.space/demo/ This is a demo of a detector for #farright symbols like swastika, ss skull and the SS Insignia. it' using #tensorflowjs so everything happens in the browser. I'll gladly share the data-sets, just reach out #datascience #ml #objectdetection #sociology
#farright #TensorflowJS #datascience #ml #objectdetection #sociology
https://detector.uber.space/demo/ Das ist eine Demo für eine Bilderkennung von Symbolen wie Swastika, SS Totenkopf und SS Runen. Es verwendet #tensorflowjs alles passiert im Browser, daher etwas Ladezeit. Datensätze und Code Teile ich gerne mit interessierten Kolleg*innen #datascience #ml #objectdetection #soziologie
#TensorflowJS #datascience #ml #objectdetection #soziologie
Render Yourself Invisible to AI with This Adversarial Sweater of Doom - Ugly sweater season is rapidly approaching, at least here in the Northern Hemisphe... - https://hackaday.com/2022/10/20/render-yourself-invisible-to-ai-with-this-adversarial-sweater-of-doom/ #machinelearning #objectdetection #neuralnetwork #adversarial #uglysweater #classifier #coco #yolo #cnn
#cnn #yolo #coco #classifier #uglysweater #adversarial #neuralnetwork #objectdetection #machinelearning
Render Yourself Invisible to AI with This Adversarial Sweater of Doom
https://hackaday.com/2022/10/20/render-yourself-invisible-to-ai-with-this-adversarial-sweater-of-doom/
#MachineLearning #objectdetection #neuralnetwork #adversarial #uglysweater #classifier #CoCo #YOLO #cnn
#machinelearning #objectdetection #neuralnetwork #adversarial #uglysweater #classifier #coco #yolo #cnn
Referenced link: https://hackernoon.com/how-much-data-is-enough-for-small-dataset-based-object-detection
Discuss on https://discu.eu/q/https://hackernoon.com/how-much-data-is-enough-for-small-dataset-based-object-detection
Originally posted by HackerNoon | Learn Any Technology / @hackernoon@twitter.com: https://twitter.com/hackernoon/status/1573759181974282244#m
"How Much Data is Enough for Small Dataset-Based Object Detection?" https://hackernoon.com/how-much-data-is-enough-for-small-dataset-based-object-detection #machinelearning #objectdetection
#machinelearning #objectdetection
Referenced link: https://hackernoon.com/how-machines-see-the-world-7-use-cases-of-object-detection
Discuss on https://discu.eu/q/https://hackernoon.com/how-machines-see-the-world-7-use-cases-of-object-detection
Originally posted by HackerNoon | Learn Any Technology / @hackernoon@twitter.com: https://twitter.com/hackernoon/status/1573688718040375296#m
"How Machines See the World: 7 Use Cases of Object Detection" by @algoscale https://hackernoon.com/how-machines-see-the-world-7-use-cases-of-object-detection #objectdetection #yoloobjectdetection
#objectdetection #yoloobjectdetection
Referenced link: https://www.iotforall.com/computer-vision-business-challenges
Discuss on https://discu.eu/q/https://www.iotforall.com/computer-vision-business-challenges
Originally posted by IoT For All / @iotforall@twitter.com: https://twitter.com/iotforall/status/1552342175291244546#m
According to @MobiDev_, #objectdetection, #facialrecognition, #scenereconstruction, #imagerestoration, and #humanposeestimation are just a handful of different implementations of computer vision technology.
https://www.iotforall.com/computer-vision-business-challenges
#objectdetection #facialrecognition #scenereconstruction #imagerestoration #humanposeestimation
My slides for OpenDataCam
on "Track and count moving objects using Cameras and Edge AI" are finally online!
https://drive.google.com/file/d/1OMmx__eLrR2q0DYaXc9GZiZgY7QIsRoC/view?usp=sharing
#ai #ArtificialIntelligence #computervision #objectdetection #tracking #camera #mot #TensorflowJS #ml #MachineLearning
#ai #artificialintelligence #computervision #objectdetection #tracking #camera #mot #tensorflowjs #ml #machinelearning
🙌 Object Detection in the Browser with #TensorFlow.js Benchmark 🙌
I want to find out how fast we can run Object Detection in the Browser. Please visit https://nonocam.github.io/poc-tfjs-demo/ and share your results!
#openCV #JavaScript #ComputerVision #AI #ML #FollowerPower #ObjectDetection
#tensorflow #opencv #javascript #computervision #ai #ml #followerpower #objectdetection