MediaPipe-Hand-Detection
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MediaPipe-Pose-Estimation
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View details ↗MobileNet-v3-Large
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View details ↗MobileNet-v3-Small
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View details ↗OpenAI-Clip
qualcommContrastive Language-Image Pre-Training (CLIP) uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features can then be used for a variety of zero-shot learning tasks. This is based on the implementation of OpenAI-Clip found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here. Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
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View details ↗Person-Foot-Detection
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View details ↗Real-ESRGAN-General-x4v3
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View details ↗Real-ESRGAN-x4plus
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View details ↗RegNet
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View details ↗Segment-Anything-Model
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View details ↗Swin-Base
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View details ↗Swin-Small
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View details ↗Swin-Tiny
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View details ↗TrOCR
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View details ↗Unet-Segmentation
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View details ↗Whisper-Base-En
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View details ↗Whisper-Small-En
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View details ↗Whisper-Tiny-En
qualcomm--- This model is deprecated. Please refer to https://aihub.qualcomm.com for the latest models and updates.
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View details ↗Yolo-X
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View details ↗No matching models
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