GitHub / pedropqv / nsfw-image-detection
nsfw-image-detection is a vision-language encoder model fine-tuned from siglip2-base-patch16-256 for multi-class image classification. Built on the SiglipForImageClassification architecture, the model is trained to identify and categorize content types in images, especially for explicit, suggestive, or safe media filtering.
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PURL: pkg:github/pedropqv/nsfw-image-detection
Stars: 1
Forks: 0
Open issues: 0
License: apache-2.0
Language: Python
Size: 14.6 KB
Dependencies parsed at: Pending
Created at: 4 months ago
Updated at: 15 days ago
Pushed at: 15 days ago
Last synced at: 15 days ago
Topics: ai, echarts, google, gradio, learning-with-noisy-labels, machine-learning, moderator, naive-bayes-classifier, networks, neural, nsfw-data, tensorflowjs, vision-transformer, yolo