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IoT

Deploy real-time AI to various devices providing next-generation user experiences.

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88 models

View details for the AOT-GAN model.
AOT-GAN
High resolution image in-painting on-device.
View details for the DDRNet23-Slim model.
DDRNet23-Slim
Segment images or video by class in real-time on device.
View details for the DeepLabV3-Plus-MobileNet model.
DeepLabV3-Plus-MobileNet
Deep Convolutional Neural Network model for semantic segmentation.
View details for the DeepLabV3-Plus-MobileNet-Quantized model.
DeepLabV3-Plus-MobileNet-Quantized
Quantized Deep Convolutional Neural Network model for semantic segmentation.
View details for the DeepLabV3-ResNet50 model.
DeepLabV3-ResNet50
Deep Convolutional Neural Network model for semantic segmentation.
View details for the DenseNet-121 model.
DenseNet-121
Imagenet classifier and general purpose backbone.
View details for the DETR-ResNet50 model.
DETR-ResNet50
Transformer based object detector with ResNet50 backbone.
View details for the DETR-ResNet50-DC5 model.
DETR-ResNet50-DC5
Transformer based object detector with ResNet50 backbone (dilated C5 stage).
View details for the DETR-ResNet101 model.
DETR-ResNet101
Transformer based object detector with ResNet101 backbone.
View details for the DETR-ResNet101-DC5 model.
DETR-ResNet101-DC5
Transformer based object detector with ResNet101 backbone (dilated C5 stage).
View details for the EfficientNet-B0 model.
EfficientNet-B0
Imagenet classifier and general purpose backbone.
View details for the ESRGAN model.
ESRGAN
Upscale images and remove image noise.