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π Explore SCRFD: High-Efficiency, High-Accuracy Face Detection π
Unlock next-level face detection capabilities with SCRFD β efficiency and accuracy in one solution!
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β Accuracy up to 96.06%
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π Explore more and consider starring our repo for updates:
--- GitHub Repository.
--- Paper
#AI #MachineLearning #FaceDetection #TechInnovation #DeepLearning
β https://www.tgoop.com/deeplearning_ai
Unlock next-level face detection capabilities with SCRFD β efficiency and accuracy in one solution!
π Performance at a Glance:
β Model range: SCRFD_500M to SCRFD_34G
β Accuracy up to 96.06%
β Inference as fast as 3.6 ms
π Explore more and consider starring our repo for updates:
--- GitHub Repository.
--- Paper
#AI #MachineLearning #FaceDetection #TechInnovation #DeepLearning
β https://www.tgoop.com/deeplearning_ai
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π Discover the Power of Fine-Grained Gaze Estimation with L2CS-Net! π
π Key Features:
β Advanced Architecture: Built using state-of-the-art neural network structures.
β Versatile Utilities: Packed with utility functions and classes for seamless integration.
β Robust Data Handling: Efficient data loading, preprocessing, and augmentation.
β Comprehensive Training & Testing: Easy-to-follow scripts for training and testing your models.
π Live Demo:
Visualize the power of L2CS-Net with your own video:
π Join Us:
Star our repo on GitHub and be part of the innovative community pushing the boundaries of gaze estimation. Your support drives us forward!
π GitHub Repository
Let's advance gaze estimation together! ππ #GazeEstimation #DeepLearning #AI #MachineLearning #ComputerVision
π Key Features:
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β Versatile Utilities: Packed with utility functions and classes for seamless integration.
β Robust Data Handling: Efficient data loading, preprocessing, and augmentation.
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π Live Demo:
Visualize the power of L2CS-Net with your own video:
π Join Us:
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Let's advance gaze estimation together! ππ #GazeEstimation #DeepLearning #AI #MachineLearning #ComputerVision
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π Introducing Emotion Recognition with ONNX Runtime!
Transform your projects with real-time face detection and emotion recognition. Dive into our latest repo and see the magic unfold!
π Key Features:
* Real-time face detection with ONNX models.
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βοΈ Star our repo and elevate your AI projects: Emotion Recognition on GitHub
Join us on this exciting journey and letβs push the boundaries of AI together! ππ©βπ»π¨βπ»
β https://github.com/Shohruh72
β https://www.tgoop.com/deeplearning_ai
Transform your projects with real-time face detection and emotion recognition. Dive into our latest repo and see the magic unfold!
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* Accurate emotion recognition from detected faces.
* Live visualization of emotion scores.
βοΈ Star our repo and elevate your AI projects: Emotion Recognition on GitHub
Join us on this exciting journey and letβs push the boundaries of AI together! ππ©βπ»π¨βπ»
β https://github.com/Shohruh72
β https://www.tgoop.com/deeplearning_ai
π Join Our Team as a Senior Data Researcher at Wunder Fund! π
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3D StreetUnveiler with Semantic-Aware 2DGS
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Youβve been invited to add the folder βData scienceβ, which includes 15 chats.
Are you struggling with invoking functions, passing arguments, or handling return values in Large Language Models (LLMs)?
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Depth Anything2: Unleashing the Power of Large-Scale Unlabeled Data
This work presents Depth Anything, a highly practical solution for robust monocular depth estimation by training on a combination of 1.5M labeled images and 62M+ unlabeled images.
Explore More:
π»Source Code: Explore on GitHub
π»Project Details: Discover More
πRead the Paper: Access Here
β https://www.tgoop.com/deeplearning_ai
This work presents Depth Anything, a highly practical solution for robust monocular depth estimation by training on a combination of 1.5M labeled images and 62M+ unlabeled images.
Explore More:
π»Source Code: Explore on GitHub
π»Project Details: Discover More
πRead the Paper: Access Here
β https://www.tgoop.com/deeplearning_ai
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Grounding DINO 1.5
IDEA Research's Most Capable Open-World Object Detection Model Series.
Explore More:
π»Source Code: Explore on GitHub
π»Try DEMO: Discover More
πRead the Paper: Access Here
β https://www.tgoop.com/deeplearning_ai
IDEA Research's Most Capable Open-World Object Detection Model Series.
Explore More:
π»Source Code: Explore on GitHub
π»Try DEMO: Discover More
πRead the Paper: Access Here
β https://www.tgoop.com/deeplearning_ai
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βοΈ IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination.
https://github.com/zju3dv/IntrinsicAnything
β https://www.tgoop.com/deeplearning_ai
https://github.com/zju3dv/IntrinsicAnything
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πFACE ID: Face Identification π
Hello tech enthusiasts! π
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π Give us feedback by reviewing the code and suggesting improvements.
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Hello tech enthusiasts! π
Our project leverages the power of ONNX Runtime to deliver high-accuracy face identification.
π Check out our project and see it in action!
π Visit our GitHub Repository: FACE ID
We need your support to make this project even better! Hereβs how you can help:
βοΈ Star our repository to show your appreciation and help us gain more visibility.
π Share with your network to spread the word about AdaFace.
π Give us feedback by reviewing the code and suggesting improvements.
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π Exciting AI Breakthrough! Meet U^2-Net! π
π Why U^2-Net?
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π Key Applications:
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π‘ Ready to Transform Projects
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π»Source Code: Explore GitHub Repo
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π Why U^2-Net?
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π Key Applications:
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π‘ Ready to Transform Projects
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π Bring Your Portraits to Life with LivePortrait AI! π
π¨ Introducing LivePortrait: The Ultimate Tool for Animated Portraits π¨
π Features:
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π Keypoint Detection: Precise facial keypoint transformation.
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π¨ Introducing LivePortrait: The Ultimate Tool for Animated Portraits π¨
π Features:
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π LiteHPE: Revolutionize Your Head Pose Estimation!
π― Why LiteHPE?
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π½ Inference at Your Fingertips:
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β¨ Join the Stars!
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β @deeplearning_ai
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