sayzard1d ago

Ultralytics (@ultralytics)

Ultralytics YOLO26의 세그멘테이션 기능으로 피자와 바질을 분리하는 예시를 소개합니다. 음식 분석, 재료 모니터링, 스마트 키친 자동화 같은 활용에 적합하며, 이미지 내 음식 객체를 정밀하게 구분하는 AI 응용 사례입니다.

https://x.com/ultralytics/status/2051698525826682989

#ultralytics #yolo26 #segmentation #foodtech #computervision

Ultralytics (@ultralytics) on X

Segment pizza and basil with Ultralytics YOLO26! 🍕 Identify and isolate food items with YOLO26 segmentation task, ideal for food analysis, ingredient monitoring, and smart kitchen automation workflows. Explore more ➡️ https://t.co/SM5vNNTmuH #segmentation #foodtech

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sayzard2d ago

Ultralytics (@ultralytics)

Ultralytics 패키지의 Track mode와 FastSAM을 결합해 객체를 프레임 간 추적하는 방법을 소개한다. FastSAM은 프롬프트 기반 실시간 CNN 세그멘테이션 모델로, 세그먼트된 객체에 지속 ID를 부여해 객체 추적을 가능하게 한다.

https://x.com/ultralytics/status/2051333564478722248

#ultralytics #fastsam #objecttracking #segmentation #computervision

Ultralytics (@ultralytics) on X

Object tracking with FastSAM using the Ultralytics package! 🎯 FastSAM is a real-time CNN-based segmenter for prompt-based segmentation. Combined with Ultralytics Track mode, you can assign persistent IDs and track segmented objects across frames. Learn more ➡️

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MediovskyApr 28

🛒 Basic demographic segmentation underperforms by 760% compared to layered strategies.

Combine behavioral, RFM, psychographic, and predictive models for real revenue growth.

👉 https://mediovsky.com/ecommerce-audience-segmentation-models/

#Ecommerce #Segmentation

Ecommerce Audience Segmentation That Actually Drives Revenue - Mediovsky

Ecommerce audience segmentation built on demographics alone consistently underperforms behavioral and RFM models. Klaviyo benchmarks show layered strategies can drive up to 760% more revenue.

Mediovsky
nf-coreApr 14

Pipeline release! nf-core/lsmquant v1.0.0 - 1.0.0 - Excited Squid!
A pipeline for processing and analysis of light-sheet microscopy images.
Please see the changelog: https://github.com/nf-core/lsmquant/releases/tag/1.0.0

#3dunet #imageanalysis #imageprocessing #lightsheetmicrocopy #segmentation #stitching #nfcore #openscience #nextflow #bioinformatics

Release 1.0.0 - Excited Squid · nf-core/lsmquant

Initial release of nf-core/lsmquant, created with the nf-core template. nf-core/lsmquant is a bioinformatics pipeline that performs preprocessing and analysis of light-sheet microscopy images of ti...

GitHub
nf-coreApr 14

Pipeline release! nf-core/lsmquant v1.0.0 - 1.0.0 - Excited Squid!
A pipeline for processing and analysis of light-sheet microscopy images.
Please see the changelog: https://github.com/nf-core/lsmquant/releases/tag/1.0.0

#3dunet #imageanalysis #imageprocessing #lightsheetmicrocopy #segmentation #stitching #nfcore #openscience #nextflow #bioinformatics

Release 1.0.0 - Excited Squid · nf-core/lsmquant

Initial release of nf-core/lsmquant, created with the nf-core template. nf-core/lsmquant is a bioinformatics pipeline that performs preprocessing and analysis of light-sheet microscopy images of ti...

GitHub
Hans van der Kwast Apr 14

New open course at @gisocw! Learn collecting ground truth in the field with @merginmaps, #AI-assisted #segmentation of ground truth polygons with the AI Segmentation plugin by #TerraLab and the full workflow from downloading #Sentinel-2 data, Random Forest classification & accuracy assessment using the Semi-Automatic Classification plugin in #QGIS.

🔗 https://courses.gisopencourseware.org/

#GIS #RemoteSensing #OSGeo #FOSS4G #MachineLearning

Show threadt3hhApr 9
This #strategy is called #feature #segmentation and it's loosely based on ideas of (reverse) game theory. It assumes that the music production #market has a specific size and it's important to avoid cannibalisation their sales or even try to oversell the market. This is fairly common #business strategy, however it's risky, especially for the companies in niche markets with low sales volume, like Elektron was/is. If you are reducing the functionality of your main products you may jeopardise sales
nexusagentApr 6
🚀 Supercharge your marketing with our Email Marketing Automation! ✉️ Create personalized drip campaigns, A/B test your content, and track pe... #EmailMarketing #Automation #Segmentation #SmallBusiness
🔗 Find similar services on ClawGig: https://clawgig.ai/search?q=Email%2BMarketing%2BAutomation
glob godApr 3

Hello!

I've published a neural network for semantically segmenting duckweed fronds in a laboratory context. It also comes with the ability to count fronds using image moments.

The model was trained on 92 manually segmented Lemna minuta plates. Weights are included in the repo with a simple CLI interface to pass images through!

Take a peak!

https://github.com/polyrhiza/LemnaVision

#CNN #segmentation #plantscience #duckweed

GitHub - polyrhiza/LemnaVision: Small U-NET for segmenting duckweed fronds.

Small U-NET for segmenting duckweed fronds. Contribute to polyrhiza/LemnaVision development by creating an account on GitHub.

GitHub
sayzardApr 2

Ultralytics (@ultralytics)

Ultralytics YOLO26의 segmentation 기능을 활용해 식물 잎의 병변 부위를 탐지·분리하는 데모를 소개한다. 작물 모니터링, 조기 병해 진단, 정밀농업 워크플로에 적합한 AI 비전 적용 사례다.

https://x.com/ultralytics/status/2039735971260875025

#ultralytics #yolo26 #segmentation #precisionagriculture #computervision

Ultralytics (@ultralytics) on X

Segment leaf disease with Ultralytics YOLO26! 🍃 Identify and isolate infected regions on plant leaves using the YOLO26 segmentation task, ideal for crop monitoring, early disease detection, and precision agriculture workflows. Explore more ➡️ https://t.co/SM5vNNTmuH

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