#objectdetection — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #objectdetection, aggregated by home.social.
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Build a Live Object Detection App for the Reachy Mini With TensorFlow and PyCharm
#Pycharm #Datascience #Tutorials #Computervision #Objectdetection #Python #Tensorflow -
Build a Live Object Detection App for the Reachy Mini With TensorFlow and PyCharm
#Pycharm #Datascience #Tutorials #Computervision #Objectdetection #Python #Tensorflow -
Build a Live Object Detection App for the Reachy Mini With TensorFlow and PyCharm
#Pycharm #Datascience #Tutorials #Computervision #Objectdetection #Python #Tensorflow -
Build a Live Object Detection App for the Reachy Mini With TensorFlow and PyCharm
#Pycharm #Datascience #Tutorials #Computervision #Objectdetection #Python #Tensorflow -
Build a Live Object Detection App for the Reachy Mini With TensorFlow and PyCharm
#Pycharm #Datascience #Tutorials #Computervision #Objectdetection #Python #Tensorflow -
Processing nationwide data for Germany’s digital twin
The scale of the Digital Twin Germany project raises a critical operational q…
#Germany #DE #Europe #EU #Europa #aerialmapping #Aerialsurvey #AerialSurveying #AI #artificialintelligence #automation #Cloud #digitaltwin #GeoAI #geospatial #infrastructure #laserscanning #Lidar #Lidarapplications #Lidardataprocessing #mapping #objectdetection #pointcloud #pointcloudclassification #remotesensing #workflow
https://www.europesays.com/germany/10929/ -
Talk on the discord about how much time it takes to process images with Darknet/YOLO. No need to guess and throw wild speculation -- run any of the built-in Darknet/YOLO tools and it will tell you exactly how long it takes at every step.
loading /home/stephane/nn/driving/set_04_dash/frame_064661.jpg
-> reading image from disk ........... 3.781 milliseconds [1280 x 720 x 3] [78.7 KiB]
-> resizing image to network dims .... 0.383 milliseconds [640 x 352 x 3]
-> using Darknet to predict .......... 2.581 milliseconds [7 objects]
-> using Darknet to annotate image ... 0.071 milliseconds [1280 x 720 x 3]
-> save output image to disk ......... 2.123 milliseconds [84.9 KiB]
-> total time elapsed ................ 9.324 milliseconds [107 FPS] -
Talk on the discord about how much time it takes to process images with Darknet/YOLO. No need to guess and throw wild speculation -- run any of the built-in Darknet/YOLO tools and it will tell you exactly how long it takes at every step.
loading /home/stephane/nn/driving/set_04_dash/frame_064661.jpg
-> reading image from disk ........... 3.781 milliseconds [1280 x 720 x 3] [78.7 KiB]
-> resizing image to network dims .... 0.383 milliseconds [640 x 352 x 3]
-> using Darknet to predict .......... 2.581 milliseconds [7 objects]
-> using Darknet to annotate image ... 0.071 milliseconds [1280 x 720 x 3]
-> save output image to disk ......... 2.123 milliseconds [84.9 KiB]
-> total time elapsed ................ 9.324 milliseconds [107 FPS] -
Talk on the discord about how much time it takes to process images with Darknet/YOLO. No need to guess and throw wild speculation -- run any of the built-in Darknet/YOLO tools and it will tell you exactly how long it takes at every step.
loading /home/stephane/nn/driving/set_04_dash/frame_064661.jpg
-> reading image from disk ........... 3.781 milliseconds [1280 x 720 x 3] [78.7 KiB]
-> resizing image to network dims .... 0.383 milliseconds [640 x 352 x 3]
-> using Darknet to predict .......... 2.581 milliseconds [7 objects]
-> using Darknet to annotate image ... 0.071 milliseconds [1280 x 720 x 3]
-> save output image to disk ......... 2.123 milliseconds [84.9 KiB]
-> total time elapsed ................ 9.324 milliseconds [107 FPS] -
Talk on the discord about how much time it takes to process images with Darknet/YOLO. No need to guess and throw wild speculation -- run any of the built-in Darknet/YOLO tools and it will tell you exactly how long it takes at every step.
loading /home/stephane/nn/driving/set_04_dash/frame_064661.jpg
-> reading image from disk ........... 3.781 milliseconds [1280 x 720 x 3] [78.7 KiB]
-> resizing image to network dims .... 0.383 milliseconds [640 x 352 x 3]
-> using Darknet to predict .......... 2.581 milliseconds [7 objects]
-> using Darknet to annotate image ... 0.071 milliseconds [1280 x 720 x 3]
-> save output image to disk ......... 2.123 milliseconds [84.9 KiB]
-> total time elapsed ................ 9.324 milliseconds [107 FPS] -
Talk on the discord about how much time it takes to process images with Darknet/YOLO. No need to guess and throw wild speculation -- run any of the built-in Darknet/YOLO tools and it will tell you exactly how long it takes at every step.
loading /home/stephane/nn/driving/set_04_dash/frame_064661.jpg
-> reading image from disk ........... 3.781 milliseconds [1280 x 720 x 3] [78.7 KiB]
-> resizing image to network dims .... 0.383 milliseconds [640 x 352 x 3]
-> using Darknet to predict .......... 2.581 milliseconds [7 objects]
-> using Darknet to annotate image ... 0.071 milliseconds [1280 x 720 x 3]
-> save output image to disk ......... 2.123 milliseconds [84.9 KiB]
-> total time elapsed ................ 9.324 milliseconds [107 FPS] -
I don't talk about Darknet/YOLO much anymore on Mastodon. But I maintain the modern Darknet/YOLO repo.
This repo, written in C++ and CUDA, is used to analyze images and video frames to find objects. You train a neural network to identify things you need, and then you give it images or videos to inspect.
Darknet/YOLO is completely free. Uses the Apache 2 license.
The GitHub mirror is here: https://github.com/hank-ai/darknet/tree/v6-dev#table-of-contents
The main repo is here: https://codeberg.org/CCodeRun/darknet/src/branch/v6-dev#table-of-contents
An example image:
#Darknet #YOLO #NeuralNetwork #ObjectDetection -
I don't talk about Darknet/YOLO much anymore on Mastodon. But I maintain the modern Darknet/YOLO repo.
This repo, written in C++ and CUDA, is used to analyze images and video frames to find objects. You train a neural network to identify things you need, and then you give it images or videos to inspect.
Darknet/YOLO is completely free. Uses the Apache 2 license.
The GitHub mirror is here: https://github.com/hank-ai/darknet/tree/v6-dev#table-of-contents
The main repo is here: https://codeberg.org/CCodeRun/darknet/src/branch/v6-dev#table-of-contents
An example image:
#Darknet #YOLO #NeuralNetwork #ObjectDetection -
I don't talk about Darknet/YOLO much anymore on Mastodon. But I maintain the modern Darknet/YOLO repo.
This repo, written in C++ and CUDA, is used to analyze images and video frames to find objects. You train a neural network to identify things you need, and then you give it images or videos to inspect.
Darknet/YOLO is completely free. Uses the Apache 2 license.
The GitHub mirror is here: https://github.com/hank-ai/darknet/tree/v6-dev#table-of-contents
The main repo is here: https://codeberg.org/CCodeRun/darknet/src/branch/v6-dev#table-of-contents
An example image:
#Darknet #YOLO #NeuralNetwork #ObjectDetection -
I don't talk about Darknet/YOLO much anymore on Mastodon. But I maintain the modern Darknet/YOLO repo.
This repo, written in C++ and CUDA, is used to analyze images and video frames to find objects. You train a neural network to identify things you need, and then you give it images or videos to inspect.
Darknet/YOLO is completely free. Uses the Apache 2 license.
The GitHub mirror is here: https://github.com/hank-ai/darknet/tree/v6-dev#table-of-contents
The main repo is here: https://codeberg.org/CCodeRun/darknet/src/branch/v6-dev#table-of-contents
An example image:
#Darknet #YOLO #NeuralNetwork #ObjectDetection -
I don't talk about Darknet/YOLO much anymore on Mastodon. But I maintain the modern Darknet/YOLO repo.
This repo, written in C++ and CUDA, is used to analyze images and video frames to find objects. You train a neural network to identify things you need, and then you give it images or videos to inspect.
Darknet/YOLO is completely free. Uses the Apache 2 license.
The GitHub mirror is here: https://github.com/hank-ai/darknet/tree/v6-dev#table-of-contents
The main repo is here: https://codeberg.org/CCodeRun/darknet/src/branch/v6-dev#table-of-contents
An example image:
#Darknet #YOLO #NeuralNetwork #ObjectDetection -
A closer look at image annotation in AI systems
Machines need labeled data to understand images. image annotation services provide that structure by marking objects and patterns. This helps AI systems process visual information and deliver more accurate and reliable outcomes.
Know more: https://www.hitechdigital.com/image-annotation-services
#ImageAnnotationServices #DataAnnotationServices #ImageLabeling #ComputerVision #AITrainingData #MachineLearning #ObjectDetection
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AI Image Annotation for Detection Models
Structured polygon annotation, 3D cuboids, landmark detection, and semantic segmentation designed for scalable AI training. An image annotation company delivers datasets for computer vision, medical imaging, and object detection systems.
Know More: https://www.hitechdigital.com/image-annotation-services
#ImageAnnotation #AITrainingData #ObjectDetection #MachineLearning #MedicalImagingAI #DataLabeling
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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 in images? This easy guide breaks down object detection, how it works, and where it’s used in daily life. Learn why image annotation services are essential for training reliable AI models.
Know More: https://www.hitechdigital.com/blog/object-detection-guide
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Tôi đã đấu vật với AI (Claude) 14 tiếng mỗi ngày. Không thể hạnh phúc hơn.
— Akio Shiki (@ar_akio) 20 tháng 10, 2025Là kỹ sư AI, tôi giải quyết "thảm kịch nước ấm" bằng ESP32 và SAM 3! Dù chai trong suốt, kệ kính, ánh sáng phức tạp – hệ thống nhận diện vẫn hoạt động chính xác, không cần hiệu chỉnh. Chứng minh SAM 3 mạnh mẽ trong nhận dạng vật thể trong suốt – tiềm năng cho robot công nghiệp & xe tự hành.
#SmartFridge #IoT #ComputerVision #AI #SAM3 #ESP32 #ObjectDetection #TríTuệNhânTạo
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Tôi đã đấu vật với AI (Claude) 14 tiếng mỗi ngày. Không thể hạnh phúc hơn.
— Akio Shiki (@ar_akio) 20 tháng 10, 2025Là kỹ sư AI, tôi giải quyết "thảm kịch nước ấm" bằng ESP32 và SAM 3! Dù chai trong suốt, kệ kính, ánh sáng phức tạp – hệ thống nhận diện vẫn hoạt động chính xác, không cần hiệu chỉnh. Chứng minh SAM 3 mạnh mẽ trong nhận dạng vật thể trong suốt – tiềm năng cho robot công nghiệp & xe tự hành.
#SmartFridge #IoT #ComputerVision #AI #SAM3 #ESP32 #ObjectDetection #TríTuệNhânTạo
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Top 10 Image Annotation Services Transforming Computer Vision in 2026
Explore the leading Image Annotation Services transforming AI in 2026. These top providers offer expert labeling for object detection, segmentation, and classification, helping build robust computer vision models across industries like healthcare, autonomous driving.
Know More: https://telegra.ph/Top-10-Image-Annotation-Services-Shaping-Computer-Vision-in-2026-12-08
#imageannotation #datalabeling #imagesegmentation #objectdetection #techtrends2026
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Thinking it is time to release Darknet v5.1. The "Christmas 2025" edition? #Darknet #YOLO #ObjectDetection
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Thinking it is time to release Darknet v5.1. The "Christmas 2025" edition? #Darknet #YOLO #ObjectDetection
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Thinking it is time to release Darknet v5.1. The "Christmas 2025" edition? #Darknet #YOLO #ObjectDetection
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Thinking it is time to release Darknet v5.1. The "Christmas 2025" edition? #Darknet #YOLO #ObjectDetection
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Thinking it is time to release Darknet v5.1. The "Christmas 2025" edition? #Darknet #YOLO #ObjectDetection
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Why DETRs are replacing YOLOs for real-time object detection
https://blog.datameister.ai/detection-transformers-real-time-object-detection
#HackerNews #DETRs #YOLOs #ObjectDetection #RealTime #AI #MachineLearning
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Why DETRs are replacing YOLOs for real-time object detection
https://blog.datameister.ai/detection-transformers-real-time-object-detection
#HackerNews #DETRs #YOLOs #ObjectDetection #RealTime #AI #MachineLearning
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Why DETRs are replacing YOLOs for real-time object detection
https://blog.datameister.ai/detection-transformers-real-time-object-detection
#HackerNews #DETRs #YOLOs #ObjectDetection #RealTime #AI #MachineLearning
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Why DETRs are replacing YOLOs for real-time object detection
https://blog.datameister.ai/detection-transformers-real-time-object-detection
#HackerNews #DETRs #YOLOs #ObjectDetection #RealTime #AI #MachineLearning
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Why DETRs are replacing YOLOs for real-time object detection
https://blog.datameister.ai/detection-transformers-real-time-object-detection
#HackerNews #DETRs #YOLOs #ObjectDetection #RealTime #AI #MachineLearning
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@kdenlive @kde Can anyone help me use this #SAM2 #ObjectDetection in #kdenlive I got stuck at the first hurdle!
The plugin setting says it's installed, but the Effect Stack still just shows a "Configure" button? This is on macOS... what am I missing?
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2025 Pet Hacks Contest: Fort Bawks is Guarded by Object Detection - One of the difficult things about raising chickens is that you aren’t the only thi... - https://hackaday.com/2025/06/09/2025-pet-hacks-contest-fort-bawks-is-guarded-by-object-detection/ #2025pethackscontest #objectdetection #raspberrypi #chickencoop #rasberrypi #smarthome #contests #webcam
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2025 Pet Hacks Contest: Fort Bawks is Guarded by Object Detection https://hackaday.com/2025/06/09/2025-pet-hacks-contest-fort-bawks-is-guarded-by-object-detection/ #2025PetHacksContest #objectdetection #RaspberryPi #chickencoop #rasberrypi #smarthome #contests #webcam
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Wildlife Protection System for Train Safety [incl. spatial]
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https://github.com/Vinonsan/Srilankan-Railway-Safety-system <-- shared GitHub repository
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#GIS #spatial #mapping #TechForGood #WildlifeConservation #AI #MachineLearning #ObjectDetection #ReactJS #NodeJS #Innovation #Sustainability #ConservationTech #AIForConservation #srilanka #risk #hazard #safety #model #modeling #mitigation #elephant #bull #wildlife #livestock #protection #realtime #detection #weather #safety #railroad #train #transportation #infrastructure #spatialanalysis #conservation #railway #railroad #economics -
Roboflow has launched RF-DETR, a real-time object detection model..
#AI #MachineLearning #ComputerVision #VisionAI #ObjectDetection #Roboflow #RFDETR #EdgeAI #DeepLearning #RealTimeAI #AIModels
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OPARP Telepresence Robot - [Erik Knutsson] is stuck inside with a bunch of robot parts, and we know what lies down that path. H... - https://hackaday.com/2020/08/31/oparp-telepresence-robot/ #2020hackadayprize #facialrecognition #personalassistant #telepresencerobot #thehackadayprize #objectdetection #telepresence #robotshacks #tensorflow #follower #mycroft #mobile #robot
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Upgrades my #pfsense to the latest RC. So far, so good.
Updated my servers. #Foreman makes it too easy.
Finally now getting around to #objectdetection in #zoneminder -
@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.
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@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.
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@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.
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@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.
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YOLOv5 hits 97% precision on zooplankton; YOLOv8’s DFL handles class imbalance, boosting excrement hits despite scant labels. https://hackernoon.com/need-precision-plankton-counts-why-yolov5-shines-but-yolov8-adapts #objectdetection
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Class imbalance (80% Artemia) and SSIM/MSE checks ensure quality across 50 mg, 100 mg, and control images before YOLO training. https://hackernoon.com/train-yolo-in-10-epochs-a-lean-recipe-for-marine-micro-object-detection #objectdetection
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YOLOv8 research tutorial: Discover 10 powerful steps to customize YOLOv8 for your research. Boost your AI projects today! #YOLOv8 #ObjectDetection #Research #AI #DeepLearning
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ONNX conversion tool is mostly done. Code is 99% there. But I have 1 nagging bug related to Resize node (upscale layer). Could use some eyes.
Anyone familiar with ONNX files want to give it a test?
https://www.ccoderun.ca/programming/doxygen/darknet/classDarknet_1_1ONNXExport.html#details
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Attention, earthlings! 🚀 Gemini 2.5 is here to "sort of" revolutionize object detection with the vibrant enthusiasm of a damp sock. 🤖✨ In a thrilling race against Yolo V3 from 2018, this "decent" AI takes the scenic route to underwhelm us all while we dream of a world without endless dataset drudgery. 🔍📦
https://simedw.com/2025/07/10/gemini-bounding-boxes/ #Gemini2.5 #YoloV3 #ObjectDetection #AIInnovation #DatasetManagement #HackerNews #ngated -
Anyone need object detection work done? I'm looking for work. See attached images for examples. This is done using Darknet/YOLO, written in C++. #ObjectDetection #Darknet #YOLO #cpp
