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Posts tagged #objectrecognition

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#DETR #Meta #ObjectRecognition
small app to pass time github.com/nicolasb-git...

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Validation and generalization with high-resolution 7T fMRI data. Encoding of visual, semantic, and memorability features using 7T fMRI data. Top left: Visual coding. Top right: Semantic coding. Bottom: Memorability coding. Color coding indicates model coding strength, estimated by the Pearson’s correlation between the observed and predicted responses. In each pair of images, left is Fusiform gyrus (FG) and right is Medial temporal lobe (MTL).

Validation and generalization with high-resolution 7T fMRI data. Encoding of visual, semantic, and memorability features using 7T fMRI data. Top left: Visual coding. Top right: Semantic coding. Bottom: Memorability coding. Color coding indicates model coding strength, estimated by the Pearson’s correlation between the observed and predicted responses. In each pair of images, left is Fusiform gyrus (FG) and right is Medial temporal lobe (MTL).

#ObjectRecognition involves visual, semantic & memory-related processes. @run-nan.bsky.social &co show that these features are dynamically encoded across distributed brain regions, with memorability influencing early processing & integrating signals from VTC & PFC @plosbiology.org 🧪 plos.io/3Nok54C

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Validation and generalization with high-resolution 7T fMRI data. Encoding of visual, semantic, and memorability features using 7T fMRI data. Top left: Visual coding. Top right: Semantic coding. Bottom: Memorability coding. Color coding indicates model coding strength, estimated by the Pearson’s correlation between the observed and predicted responses. In each pair of images, left is Fusiform gyrus (FG) and right is Medial temporal lobe (MTL).

Validation and generalization with high-resolution 7T fMRI data. Encoding of visual, semantic, and memorability features using 7T fMRI data. Top left: Visual coding. Top right: Semantic coding. Bottom: Memorability coding. Color coding indicates model coding strength, estimated by the Pearson’s correlation between the observed and predicted responses. In each pair of images, left is Fusiform gyrus (FG) and right is Medial temporal lobe (MTL).

#ObjectRecognition involves visual, semantic & memory-related processes. @run-nan.bsky.social &co show that these features are dynamically encoded across distributed brain regions, with memorability influencing early processing & integrating signals from VTC & PFC @plosbiology.org 🧪 plos.io/3Nok54C

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Validation and generalization with high-resolution 7T fMRI data. Encoding of visual, semantic, and memorability features using 7T fMRI data. Top left: Visual coding. Top right: Semantic coding. Bottom: Memorability coding. Color coding indicates model coding strength, estimated by the Pearson’s correlation between the observed and predicted responses. In each pair of images, left is Fusiform gyrus (FG) and right is Medial temporal lobe (MTL).

Validation and generalization with high-resolution 7T fMRI data. Encoding of visual, semantic, and memorability features using 7T fMRI data. Top left: Visual coding. Top right: Semantic coding. Bottom: Memorability coding. Color coding indicates model coding strength, estimated by the Pearson’s correlation between the observed and predicted responses. In each pair of images, left is Fusiform gyrus (FG) and right is Medial temporal lobe (MTL).

#ObjectRecognition involves visual, semantic & memory-related processes. @run-nan.bsky.social &co show that these features are dynamically encoded across distributed brain regions, with memorability influencing early processing & integrating signals from VTC & PFC @plosbiology.org 🧪 plos.io/3Nok54C

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White Gallery – Temporary Art Space in #roma opens this #Saturday with a #groupshow including also my #ar #ai #walldrawing Null Void 0 questioning and speculating on the #objectrecognition ai practice. segnonline.it/events/white...

#artificialintelligence #augmentedreality #art

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Playing with AI-powered DETR model #DETR #Meta #ObjectRecognition

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[New Post]
Beyond Manual Counts: How AI Fish Counter's Object Recognition is Revolutionizing the Future of Fisheries

#AIFishCounter #FisheriesTech #ObjectRecognition #AquacultureInnovation mos-technology-en.blogspot.com/2025/09/beyond-manual-co...

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GitHub - nicolasb-git/oDetector Contribute to nicolasb-git/oDetector development by creating an account on GitHub.

#AI #objectrecognition
github.com/nicolasb-git...
Made some tests with Objects recognition

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GeoDE: A Geographically Diverse Dataset for Object Recognition

GeoDE: A Geographically Diverse Dataset for Object Recognition

GeoDE provides 61,940 crowd‑sourced images covering 40 object classes across six world regions, with the first version launched on 5 Jan 2023 and the latest update in Sep 2025. getnews.me/geode-a-geographically-d... #geode #objectrecognition #datadiversity

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🎉 Congrats to PhD Candidate, Almudena, for winning the Outstanding Presentation Award at the 2024 #ACNS conference! Topic: #ObjectRecognition Under Occlusion During Rapid Serial Visual Presentations. 👏 #Neuroscience #MARCSHDR

tinyurl.com/AlmudenaRami...

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Hi Coders/No Coders,

Is there an API you can recommend that can recognise/classify objects in an uploaded photo? For example a pair of trainers, a mobile phone, a child's toy etc.

#objectrecognition #object #recognition #api #code #nocode

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Presentation on andversarial attacks, jailbreaking, specification gaming

Presentation on andversarial attacks, jailbreaking, specification gaming

👾 Technical objects afford more than what is intended by marketing logic. - The better you know your way around, the easier it is to help shape, counteract, be creative, make informed decisions and act in a self-determined way.

#genAI #objectrecognition #philosophy #philosophyoftechnology

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Lobe | Machine Learning Made Easy Download the free, easy to use app that helps you train custom machine learning models and ship them in your app.

Lobe helps you train machine learning models with a free, easy to use tool.
#deeplearning #objectrecognition #classification

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