Inception V4 299 Quant
A quantized Inception V4 model optimized for image classification on ImageNet at 299x299 resolution.
MobileNet V1 0.25 224 Float
A MobileNet V1 model with a 0.25 width multiplier optimized for image classification on ImageNet at 224x224 resolution.
MobileNet V1 0.25 224 Quant
A quantized MobileNet V1 model with a 0.25 width multiplier optimized for image classification on ImageNet at 224x224 resolution.
MobileNet V2 1.0 224 Float
A MobileNet V2 model with a 1.0 width multiplier optimized for image classification on ImageNet at 224x224 resolution.
MobileNet V2 1.0 224 Quant
A quantized MobileNet V2 model with a 1.0 width multiplier optimized for image classification on ImageNet at 224x224 resolution.
Convert NV12@1920x1080 to RGB@1920x1080
A preprocessing model to convert NV12 formatted images from 1920x1080 resolution to RGB format at the same resolution.
Convert NV12@1920x1080 to RGB@224x224
A preprocessing model to convert NV12 formatted images from 1920x1080 resolution to RGB format at 224x224 resolution.
Convert NV12@1920x1080 to RGB@640x360
A preprocessing model to convert NV12 formatted images from 1920x1080 resolution to RGB format at 640x360 resolution.
SR Fast Y UV 1280x720 to 3840x2160
A fast super-resolution model converting YUV images from 1280x720 to 3840x2160 resolution.
SR Fast Y UV 1920x1080 to 3840x2160
A fast super-resolution model converting YUV images from 1920x1080 to 3840x2160 resolution.
SR QDEO Y UV 1280x720 to 3840x2160
A QDEO-based super-resolution model converting YUV images from 1280x720 to 3840x2160 resolution.
SR QDEO Y UV 1920x1080 to 3840x2160
A QDEO-based super-resolution model converting YUV images from 1920x1080 to 3840x2160 resolution.
PoseNet MobileNet 0.75 Float
A PoseNet model using MobileNet architecture with 75% width multiplier for efficient body pose estimation.
PoseNet MobileNet 0.75 Quant
A quantized PoseNet model using MobileNet architecture with 75% width multiplier for efficient and optimized body pose estimation.
YOLOv8s Pose
A YOLOv8s model specialized for body pose estimation, optimized for real-time applications.
MobileNet224 Full80
A MobileNet model optimized for object detection on the COCO dataset with full resolution at 224x224 and 80 classes.
YOLOv5m 640x480
A YOLOv5m model for object detection optimized for 640x480 resolution, offering a balance between speed and accuracy.
YOLOv5s 640x480
A YOLOv5s model for object detection optimized for 640x480 resolution, suitable for real-time applications.
YOLOv5s Face 640x480 ONNX MQ
A YOLOv5s model specialized for face detection, optimized for 640x480 resolution using ONNX with mixed quantization.
MobileNet224 Full1
A lightweight MobileNet model optimized for people detection on high-resolution images.
Person Classification 256x448 (SR100 Series)
A Person Classification 256x448 model, developed by Synaptics, is a lightweight quantized `tflite` model developed for the SR100 processors.
Person Classification 448x640 (SR100 Series)
A Person Classification 448x640 model, developed by Synaptics, is a lightweight quantized `tflite` model developed for the SR100 processors.
Person Detection 256x480 (SR100 Series)
A Person Detection 256x480 model, developed by Synaptics, is a lightweight quantized `tflite` model developed for the SR100 processors.
Person Detection 480x640 (SR100 Series)
A Person Detection 480x640 model, developed by Synaptics, is a lightweight quantized `tflite` model developed for the SR100 processors.
Person Pose Detection 256x480 (SR100 Series)
A Person Pose Detection 256x480 model, developed by Synaptics, is a lightweight quantized `tflite` model developed for the SR100 processors.
Person Pose Detection 480x640 (SR100 Series)
A Person Pose Detection 480x640 model, developed by Synaptics, is a lightweight quantized `tflite` model developed for the SR100 processors.
Person Segmentation 256x480 (SR100 Series)
A Person Segmentation 256x480 model, developed by Synaptics, is a lightweight quantized `tflite` model developed for the SR100 processors.
Person Segmentation 480x640 (SR100 Series)
A Person Segmentation 480x640 model, developed by Synaptics, is a lightweight quantized `tflite` model developed for the SR100 processors.