#bigimagedata — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #bigimagedata, aggregated by home.social.
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Ich habe #NotebookLM all meine Publikationen gegeben – und es hat dieses Visual daraus erstellt. Nicht schlecht!
So sieht digitale Kunstgeschichte in a nutshell aus: vom einzelnen Bild zur Analyse riesiger Bildkorpora, von Close Viewing zu Distant Viewing, von Dia zu Algorithmus und Metabildern.
#DigitalArtHistory #BigImageData #AIforHumanities
https://www.harald-klinke.de/publications -
Ich habe #NotebookLM all meine Publikationen gegeben – und es hat dieses Visual daraus erstellt. Nicht schlecht!
So sieht digitale Kunstgeschichte in a nutshell aus: vom einzelnen Bild zur Analyse riesiger Bildkorpora, von Close Viewing zu Distant Viewing, von Dia zu Algorithmus und Metabildern.
#DigitalArtHistory #BigImageData #AIforHumanities
https://www.harald-klinke.de/publications -
Ich habe #NotebookLM all meine Publikationen gegeben – und es hat dieses Visual daraus erstellt. Nicht schlecht!
So sieht digitale Kunstgeschichte in a nutshell aus: vom einzelnen Bild zur Analyse riesiger Bildkorpora, von Close Viewing zu Distant Viewing, von Dia zu Algorithmus und Metabildern.
#DigitalArtHistory #BigImageData #AIforHumanities
https://www.harald-klinke.de/publications -
Ich habe #NotebookLM all meine Publikationen gegeben – und es hat dieses Visual daraus erstellt. Nicht schlecht!
So sieht digitale Kunstgeschichte in a nutshell aus: vom einzelnen Bild zur Analyse riesiger Bildkorpora, von Close Viewing zu Distant Viewing, von Dia zu Algorithmus und Metabildern.
#DigitalArtHistory #BigImageData #AIforHumanities
https://www.harald-klinke.de/publications -
Ich habe #NotebookLM all meine Publikationen gegeben – und es hat dieses Visual daraus erstellt. Nicht schlecht!
So sieht digitale Kunstgeschichte in a nutshell aus: vom einzelnen Bild zur Analyse riesiger Bildkorpora, von Close Viewing zu Distant Viewing, von Dia zu Algorithmus und Metabildern.
#DigitalArtHistory #BigImageData #AIforHumanities
https://www.harald-klinke.de/publications -
Including image features in the JSON response lowers technical entry barriers and enables powerful applications – not just for data scientists, but also for curators, scholars, and developers working on visual interfaces.
#metaimage #bigimagedata -
Including image features in the JSON response lowers technical entry barriers and enables powerful applications – not just for data scientists, but also for curators, scholars, and developers working on visual interfaces.
#metaimage #bigimagedata -
Including image features in the JSON response lowers technical entry barriers and enables powerful applications – not just for data scientists, but also for curators, scholars, and developers working on visual interfaces.
#metaimage #bigimagedata -
Including image features in the JSON response lowers technical entry barriers and enables powerful applications – not just for data scientists, but also for curators, scholars, and developers working on visual interfaces.
#metaimage #bigimagedata -
Including image features in the JSON response lowers technical entry barriers and enables powerful applications – not just for data scientists, but also for curators, scholars, and developers working on visual interfaces.
#metaimage #bigimagedata -
Why does it matter?
If the API already provides features (e.g. extracted via ResNet or similar), users can directly perform t-SNE or other dimensionality reduction techniques without first downloading the images and processing them locally.
#bigimagedata #machinelearning -
Why does it matter?
If the API already provides features (e.g. extracted via ResNet or similar), users can directly perform t-SNE or other dimensionality reduction techniques without first downloading the images and processing them locally.
#bigimagedata #machinelearning -
Why does it matter?
If the API already provides features (e.g. extracted via ResNet or similar), users can directly perform t-SNE or other dimensionality reduction techniques without first downloading the images and processing them locally.
#bigimagedata #machinelearning -
Why does it matter?
If the API already provides features (e.g. extracted via ResNet or similar), users can directly perform t-SNE or other dimensionality reduction techniques without first downloading the images and processing them locally.
#bigimagedata #machinelearning -
Why does it matter?
If the API already provides features (e.g. extracted via ResNet or similar), users can directly perform t-SNE or other dimensionality reduction techniques without first downloading the images and processing them locally.
#bigimagedata #machinelearning -
💡When designing an image API, it’s worth going beyond just returning image URLs and the usual meta data.
Including image feature vectors in the response can significantly expand what’s possible for users and researchers. 🧵
#bigimagedata #metaimage #digitalarthistory -
💡When designing an image API, it’s worth going beyond just returning image URLs and the usual meta data.
Including image feature vectors in the response can significantly expand what’s possible for users and researchers. 🧵
#bigimagedata #metaimage #digitalarthistory -
💡When designing an image API, it’s worth going beyond just returning image URLs and the usual meta data.
Including image feature vectors in the response can significantly expand what’s possible for users and researchers. 🧵
#bigimagedata #metaimage #digitalarthistory -
💡When designing an image API, it’s worth going beyond just returning image URLs and the usual meta data.
Including image feature vectors in the response can significantly expand what’s possible for users and researchers. 🧵
#bigimagedata #metaimage #digitalarthistory -
💡When designing an image API, it’s worth going beyond just returning image URLs and the usual meta data.
Including image feature vectors in the response can significantly expand what’s possible for users and researchers. 🧵
#bigimagedata #metaimage #digitalarthistory -
Including image features in the JSON response lowers technical entry barriers and enables powerful applications – not just for data scientists, but also for curators, scholars, and developers working on visual interfaces. #metaimage #bigimagedata
-
Why does it matter? If the API already provides features (e.g. extracted via ResNet or similar), users can directly perform t-SNE or other dimensionality reduction techniques without first downloading the images and processing them locally. #bigimagedata #machinelearning
-
💡When designing an image API, it’s worth going beyond just returning image URLs. Including image feature vectors in the response can significantly expand what’s possible for users and researchers. 🧵 #bigimagedata #metaimage #digitalarthistory
-
Why does it matter? If the API already provides features (e.g. extracted via ResNet or similar), users can directly perform t-SNE or other dimensionality reduction techniques without first downloading the images and processing them locally. #bigimagedata #machinelearning
-
Including image features in the JSON response lowers technical entry barriers and enables powerful applications – not just for data scientists, but also for curators, scholars, and developers working on visual interfaces. #metaimage #bigimagedata
-
💡When designing an image API, it’s worth going beyond just returning image URLs. Including image feature vectors in the response can significantly expand what’s possible for users and researchers. 🧵 #bigimagedata #metaimage #digitalarthistory
-
💡When designing an image API, it’s worth going beyond just returning image URLs. Including image feature vectors in the response can significantly expand what’s possible for users and researchers. 🧵 #bigimagedata #metaimage #digitalarthistory
-
Including image features in the JSON response lowers technical entry barriers and enables powerful applications – not just for data scientists, but also for curators, scholars, and developers working on visual interfaces. #metaimage #bigimagedata
-
Why does it matter? If the API already provides features (e.g. extracted via ResNet or similar), users can directly perform t-SNE or other dimensionality reduction techniques without first downloading the images and processing them locally. #bigimagedata #machinelearning
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Special Issue “Big Visual Data als neue Form des Wissens” – jetzt online-first
Die Einleitung zum Sonderheft der Schweizerischen Zeitschrift für Soziologie ist jetzt verfügbar. Sechs Beiträge erkunden Potenziale & Herausforderungen visueller Daten in der Wissensproduktion. Print: Juli 2025.
👉 https://www.socio-journal.ch/article/view/7178/7919
#BigImageData #Wissensproduktion #Epistemologie #Soziologie #CriticalDataStudies #CriticalAlgorithmStudies -
Special Issue “Big Visual Data als neue Form des Wissens” – jetzt online-first
Die Einleitung zum Sonderheft der Schweizerischen Zeitschrift für Soziologie ist jetzt verfügbar. Sechs Beiträge erkunden Potenziale & Herausforderungen visueller Daten in der Wissensproduktion. Print: Juli 2025.
👉 https://www.socio-journal.ch/article/view/7178/7919
#BigImageData #Wissensproduktion #Epistemologie #Soziologie #CriticalDataStudies #CriticalAlgorithmStudies -
Special Issue “Big Visual Data als neue Form des Wissens” – jetzt online-first
Die Einleitung zum Sonderheft der Schweizerischen Zeitschrift für Soziologie ist jetzt verfügbar. Sechs Beiträge erkunden Potenziale & Herausforderungen visueller Daten in der Wissensproduktion. Print: Juli 2025.
👉 https://www.socio-journal.ch/article/view/7178/7919
#BigImageData #Wissensproduktion #Epistemologie #Soziologie #CriticalDataStudies #CriticalAlgorithmStudies -
Special Issue “Big Visual Data als neue Form des Wissens” – jetzt online-first
Die Einleitung zum Sonderheft der Schweizerischen Zeitschrift für Soziologie ist jetzt verfügbar. Sechs Beiträge erkunden Potenziale & Herausforderungen visueller Daten in der Wissensproduktion. Print: Juli 2025.
👉 https://www.socio-journal.ch/article/view/7178/7919
#BigImageData #Wissensproduktion #Epistemologie #Soziologie #CriticalDataStudies #CriticalAlgorithmStudies -
Special Issue “Big Visual Data als neue Form des Wissens” – jetzt online-first
Die Einleitung zum Sonderheft der Schweizerischen Zeitschrift für Soziologie ist jetzt verfügbar. Sechs Beiträge erkunden Potenziale & Herausforderungen visueller Daten in der Wissensproduktion. Print: Juli 2025.
👉 https://www.socio-journal.ch/article/view/7178/7919
#BigImageData #Wissensproduktion #Epistemologie #Soziologie #CriticalDataStudies #CriticalAlgorithmStudies -
Introducing IMGS.AI, a multimodal search engine revolutionizing Digital Art History! Built with cutting-edge ML models like CLIP, it addresses image retrieval challenges and proposes solutions for standardizing feature extraction.
By @zentralwerkstatt & @peterbell
#DigitalArtHistory #MachineLearning #ComputerVision #CLIPModel #HCI #BigImageData #FeatureExtraction
https://dahj.org/article/imgsai -
Introducing IMGS.AI, a multimodal search engine revolutionizing Digital Art History! Built with cutting-edge ML models like CLIP, it addresses image retrieval challenges and proposes solutions for standardizing feature extraction.
By @zentralwerkstatt & @peterbell
#DigitalArtHistory #MachineLearning #ComputerVision #CLIPModel #HCI #BigImageData #FeatureExtraction
https://dahj.org/article/imgsai -
Introducing IMGS.AI, a multimodal search engine revolutionizing Digital Art History! Built with cutting-edge ML models like CLIP, it addresses image retrieval challenges and proposes solutions for standardizing feature extraction.
By @zentralwerkstatt & @peterbell
#DigitalArtHistory #MachineLearning #ComputerVision #CLIPModel #HCI #BigImageData #FeatureExtraction
https://dahj.org/article/imgsai -
Introducing IMGS.AI, a multimodal search engine revolutionizing Digital Art History! Built with cutting-edge ML models like CLIP, it addresses image retrieval challenges and proposes solutions for standardizing feature extraction.
By @zentralwerkstatt & @peterbell
#DigitalArtHistory #MachineLearning #ComputerVision #CLIPModel #HCI #BigImageData #FeatureExtraction
https://dahj.org/article/imgsai -
Introducing IMGS.AI, a multimodal search engine revolutionizing Digital Art History! Built with cutting-edge ML models like CLIP, it addresses image retrieval challenges and proposes solutions for standardizing feature extraction.
By @zentralwerkstatt & @peterbell
#DigitalArtHistory #MachineLearning #ComputerVision #CLIPModel #HCI #BigImageData #FeatureExtraction
https://dahj.org/article/imgsai