# Industrial Quality Inspection

This is a fine-tuned BERT-based model for English quality-related text classification tasks, part of the Multi2ConvAI project.

This is a fine-tuned MBert model optimized for German, focusing on the quality domain, developed by the Multi2ConvAI project.

Llama 3.2 11B Vision Instruct is a multimodal model combining vision and language, supporting image-to-text tasks.

A multimodal large language model specifically trained to enhance low-level geometric perception, improving geometric analysis capabilities through high-fidelity synthetic visual descriptions

Open-source model under Apache-2.0 license (specific details unavailable)

No specific description provided for this model; unable to generate an introduction

A crack detection model fine-tuned based on facebook/detr-resnet-50, suitable for building surface crack identification tasks

An image segmentation model fine-tuned on the bilal01/stamp-verification-test dataset based on nvidia/mit-b0

An image classification model fine-tuned based on microsoft/resnet-18, trained on the fl_image_category_ds dataset

This is a generic model template. Actual information needs to be supplemented based on the specific model page content

This is an image classification model used to determine whether an image is of a 3D-printed object.

An image classification model based on Google Vision Transformer (ViT) architecture, fine-tuned on a custom dataset with an accuracy of 82.18%

This is an image classification model built on PyTorch and HuggingPics, specifically designed to identify rust conditions in images.

This is an image classification model built on PyTorch and HuggingPics, specifically designed to identify rust conditions in images.

This is an image classification model based on the DeiT architecture, specifically designed for rock particle classification tasks, automatically generated by HuggingPics.

This is an image classification model based on the PyTorch framework, specifically designed for anomaly detection tasks, automatically generated by the HuggingPics tool.

An image orientation detection model fine-tuned from ViT-base-patch16-224-in21k, used to identify whether an image is upside down

This is an MBert model fine-tuned for the quality domain, specifically designed for English text classification tasks.

Italian text classification model optimized for the quality domain, fine-tuned based on the MBert architecture