CatalogModels
Models
The NGC catalog offers 100s of pre-trained models for computer vision, speech, recommendation, and more. Bring AI faster to market by using these models as-is or quickly build proprietary models with a fraction of your custom data.
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Stable Diffusion XL (SDXL) enables you to generate expressive images with shorter prompts and insert words inside images.
The CLIP (Contrastive Language-Image Pretraining) model combines vision and language using contrastive learning. It understands images and text together, enabling tasks like image classification and object detection.
efficientnet-widese-b4 ImageNet pretrained weights
Contains files used in rmir creation
Contains files used in rmir creation
4 class object detection network to detect cars in an image.
NeVA is a multi-modal vision-language model that understands text and images and generates informative responses.
Detect body pose from an image.
Pretrained weights to facilitate transfer learning using TAO Toolkit.
1 class instance segmentation network to detect and segment instances of people in an image.
3 class object detection network to detect people in an image.
GPUNet-0 ImageNet pretrained weights
4 class object detection network to detect cars in an image.
Pretrained weights to facilitate transfer learning using TAO Toolkit.
Semantic segmentation of persons in an image.
Pretrained weights to facilitate transfer learning using TAO Toolkit.
Resnet18 model to classify a car crop into 1 out 6 car types.
StyleGAN3 pretrained models for FFHQ, AFHQv2 and MetFaces datasets.
Resnet18 model to classify a car crop into 1 out 20 car brands.
Speech Synthesis model trained on female English speech
1 class object detection network to detect faces in an image.
5 class action recognition network to recognize what people do in an image.
GPUNet-P0 ImageNet pretrained weights
Detect faces from an image.
Model to recognize characters from the image crop of a License Plate.