catDetectionSystem keeps getting better.
#ComputerVision #ObjectDetection #YOLO #CoreML #Rockchip #RKNN #OpenCV #Ultralytics #OpenAI #Codex
youtu.be/YPXdOZTcFYQ
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#ObjectDetection
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Posts tagged #ObjectDetection
Image Annotation Tool — my first macOS app is now live on the Mac App Store:
apps.apple.com/us/app/image...
And for anyone curious about the companion detection project:
github.com/daviddpd/cat...
#MacOS #MachineLearning #ComputerVision #AppDevelopment #ImageAnnotation #ObjectDetection #YOLO
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What Is Object Detection? A Simple Guide to How AI Sees Objects
Ever wondered how AI recognizes people, cars, or faces? This guide explains object detection, real-world uses, and why image annotation trains reliable AI.
shorturl.at/aPPp1
#ObjectDetection #AITrainingData #ImageAnnotationServices
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Niche Gritty Content Worth More Than Millions of Generic Images #dataset #AI
#DeepLanguagelearning #AITraining #StargateAI #AImodels #multimodelai #modelarchitecture #computervision #objectdetection #LoRA #Largevisionmodels #GANS
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Model Collapse - What Happens When AI Feeds Itself #ai #science #viral
#stockimages #Stockvideos #dataset #Training #Datasales #Datalicensing #MachineLearning #imagelicensing #transformermodels #pretraining #transferlearning #objectdetection #LoRA #Largevisionmodels #GANS
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Model Collapse - What Happens When AI Feeds Itself #ai #science #viral
#stockimages #Stockvideos #dataset #Training #Datasales #Datalicensing #MachineLearning #imagelicensing #diffusionmodel #transformermodels #pretraining #transferlearning #objectdetection #LoRA #Largevisionmodels #GANS
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Simulation of Environment Recognition Systems for Autonomous Vehicles in CARLA Simulator
www.mdpi.com/2673-4591/11...
By Dávid Gorza et al.
From the Sustainable Mobility and Transportation Symposium 2025
#CARLA #Simulation #ObjectDetection #SensorFusion #AIDriving
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The PlantSAM plant region detection and segmentation pipeline for herbarium images. Clockwise, starting at the top left: Each image is divided into patches, processed by YOLOv10 for plant region detection, and segmented by SAM. The segmented patches are then recombined to create a complete plant mask.
PlantSAM: An object detection-driven segmentation pipeline for herbarium specimens
New in #AppsPlantSci by Youcef Sklab, Florian Castanet, Hanane Ariouat, et al.
bsapubs.onlinelibrary.wiley.com/doi/full/10....
#botany #herbarium #deeplearning #digitization #SegmentAnything #objectdetection
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I had some trouble with my Computer rig. I changed the configuration. The Gigabyte graphic card is recognized like my Asus ones. I learned that the CUDA capibility should be the same on all cards. Or let's say, it is helpful.
#AI #YOLO #COCO #model #objectdetection #darknet #Linux #GPU
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"AI가 사진 한 장을 단 한 번만 봐도 그 안의 모든 객체를 찾아낸다면?"
2015년 45fps로 세상을 놀라게 한 YOLO v1! R-CNN을 1000배 앞지른 실시간 객체 탐지의 비밀, 7×7 그리드부터 손실 함수까지 논문 완벽 분석. 자율주행·의료·보안에 혁명을 일으킨 전설의 시작을 지금 확인하세요!
#CNN #ComputerVision #DeepLearning #ObjectDetection #RealtimeDetection #YOLO #객체탐지 #논문리뷰 #딥러
doyouknow.kr/707/yolo-v1-...
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Curves of my last two YOLO trainings. The mAP reaches 99% with less iterations. The results using round about 350 training images are good. I need to compare my results with the official models in precision of detection.
#AI #YOLO #darknet #COCO #model #training #objectdetection #Python #Bash
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I avoid similar cat pictures and use more cat pictures for training. The model is improving. Overall, I still use too few photos. Training is done in two steps. Gray old. Red continued.
#AI #YOLO #darknet #COCO #model #training #objectdetection #boundingbox #annotation #Python #Bash #iterations
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Last continued YOLO darknet training. I increased the number of training images. I removed duplicates. I also used better settings. Better mAP with less iterations.
#AI #YOLO #darknet #COCO #model #training #objectdetection #boundingbox #annotation #Python #Bash #iterations
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1 new message www.marketresearchfuture.com/reports/phot...
#PhotoelectricSensors #AutomationSensors #IndustrialSensors #ObjectDetection #SensorMarket
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My object detector can be found at Copus. All resources for fast testing given.
www.copus.io/work/e105b86...
#YOLO #darknet #Python #objectdetection #copus
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Trainings results with continuation of training. I should have used darknet from the start.
#AI #YOLO #darknet #COCO #model #training #objectdetection #boundingbox #annotation #Python #Bash #iterations
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Influence of the training iterations on the detection results.
#AI #YOLO #darknet #COCO #model #training #objectdetection #boundingbox #annotation #Python #Bash #iterations
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I am conducting some new trainings sessions to better understand certain influencing factors. Test of the model is done with my new detector. Now I go up to 10000 iterations to see, what happens.
#AI #YOLO #darknet #COCO #model #training #objectdetection #boundingbox #annotation #Python #Bash
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I can now detect cats using my own cat models. For the detection I wrote a small Python detector on base of OpenCV using DNN as neural network. Now I can improve my model. NMS is influencing the result.
#AI #YOLO #COCO #model #training #detection #objectdetection #darknet #boundingbox #Python #Bash
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I have a false positive rate of round about 4.5 % in the cat recognition. It is for me not clear, why e.g. a rabbit is wrong recognized.
#AI #YOLO #COCO #model #objectdetection #darknet #boundingbox #Python #Bash
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This result has now amazed me. I didn't think that 100% recognition could be achieved or that 100% was achievable.
#AI #YOLO #COCO #model #objectdetection #darknet #boundingbox #Python #Bash
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Interim result if I continue the training, in this case with some new images.
#AI #YOLO #COCO #model #objectdetection #darknet #boundingbox #Python #Bash
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If there is a memory allocation problem using darknet, one should take a look at the used VRAM and at the setting subdivisions=4 in the cfg file. My setup from today failed with subdivisions=2. The 8 GB GPU was a problem.
#AI #YOLO #COCO #model #objectdetection #darknet #Linux #GPU #vram
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Here you can see a problem with darknet and GPU 0,1,2. I stopped the training and the memory is not free on the GPUs. If thios is the case I cannot restart. That was a pitfall yesterday, so I was looking for a problem that didn't exist.
#AI #YOLO #COCO #model #objectdetection #darknet #Linux #GPU
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I still need to check whether my return to training has been successful. The gray shows the failed attempt. The pink and red look as I expected.
#AI #YOLO #COCO #model #objectdetection #darknet #Linux #Python #Bash #loss #mAP
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These images show how good a YOLO training with darknet works. loss goes down, the mAP goes up. Recognition results are fine so far. Resuming training to improve is not working out at the moment.
#AI #YOLO #COCO #model #objectdetection #darknet #Linux #Python #Bash
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Best result using darknet in object recognition. The cat is recognized and the squirrel is no longer recognized. I am now continuing to pursue this approach. Now I need more tests.
#AI #YOLO #COCO #model #objectdetection #darknet #boundingbox #Python #Bash
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Interim result. The new approach is currently more reliable than the old one. Left is the old recognition. Right is the new recognition. For the old one the squirrel was all the time a cat.
#AI #YOLO #COCO #model #objectdetection #darknet #boundingbox #Python #Bash
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