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deepcam-cn/yolov5-face - GitHub
YOLO5Face is a real-time, high accuracy face detection based on YOLOv5. It compares with other methods on WiderFace and Multi-Task-Facial datasets and provides models, code and results. See more
- What's New
- 2023.04 yolov8-face (🔥🔥🔥↑)
- 2022.10 yolov7-face (🔥🔥🔥↑)
- 2022.8: yolov7
- 2021.12: Yolov5-face to TensorRT.
- 2021.11: BlazeFace See more
- Single Scale Inference on VGA resolution（max side is equal to 640 and scale).
- Large family See more
akanametov/yolo-face: YOLOv8 Face in PyTorch - GitHub
WEBUltralytics YOLOv8, developed by Ultralytics, is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility.
Title: YOLO-FaceV2: A Scale and Occlusion Aware Face …
WEBAug 3, 2022 · A paper that proposes a real-time face detector based on YOLOv5, with modules to enhance receptive field, attention and repulsion for small and occluded faces. The paper reports experimental results on WiderFace …
- Studies of Yolo Face
GitHub - elyha7/yoloface: Yolov5 Face Detection
WEBThe project is a wrap over yolov5-face repo. Made simple portable interface for model import and inference. Model detects faces on images and returns bounding boxes and coordinates of 5 facial keypoints, which can be used for face alignment.
[2105.12931] YOLO5Face: Why Reinventing a Face Detector
WEBMay 27, 2021 · This paper presents YOLO5Face, a face detector based on the YOLOv5 object detector, which treats face detection as a generic object detection task. It modifies the YOLOv5 design and optimizes it for face detection, achieving state-of-the-art performance on the WiderFace dataset.
- bing.com/videosWatch full videoWatch full video
WEBThis paper proposes a face detection method that treats face as a general object and uses the YOLOv5 object detector as a base. It modifies the network design, adds a landmark regression head, and creates different model sizes for various applications.
YOLO5Face: Why Reinventing a Face Detector
WEB14 rows · May 27, 2021 · YOLO5Face is a face detector based on the YOLOv5 object detector, which treats face detection as a generic object detection task. It achieves state-of-the-art performance on the …
YOLO-face: a real-time face detector | The Visual Computer ...
WEBApr 1, 2021 · Aimed to solve the detection problem of varying face scales, we propose a face detector named YOLO-face based on YOLOv3 to improve the performance for face detection. The present approach includes using anchor boxes more appropriate for face detection and a more precise regression loss function.
YOLO-face: a real-time face detector | The Visual …
WEBMar 12, 2020 · Aimed to solve the detection problem of varying face scales, we propose a face detector named YOLO-face based on YOLOv3 to improve the performance for face detection. The present approach …
WEBAimed to solve the detection problem of varying face scales, we propose a face detector named YOLO-face based on YOLOv3 to improve the performance for face detection. The present approach includes using anchor boxes more appropriate for face detection and a more precise regression loss function.
lindevs/yolov8-face: Pre-trained YOLOv8-Face models. - GitHub
WEBDec 2, 2023 · YOLOv8-Face is a repository of models trained on WIDERFace dataset for face detection. The models have different image sizes, mAP values, parameters and GFLOPs, and can be downloaded in PyTorch or ONNX format.
[2105.12931] YOLO5Face: Why Reinventing a Face Detector - ar5iv
WEBMar 19, 2024 · In this paper, we follow this intuition and design a face detector based on the YOLOv5 object detector [5]. We modify the design for face detection considering large faces, small faces, landmark supervision, for different complexities and applications.
WEBAug 4, 2022 · This paper proposes a novel face detection method based on YOLOv5, named YOLO-FaceV2, to address the problems of varying face scales, easy and hard sample imbalance and face occlusion. It introduces a Receptive Field Enhancement module, an Attention module, a Slide function and a Repulsion Loss to improve the …
YOLO-FaceV2: A Scale and Occlusion Aware Face Detector
WEBAug 3, 2022 · In this paper, we propose a real-time face detector based on the one-stage detector YOLOv5, named YOLO-FaceV2. We design a Receptive Field Enhancement module called RFE to enhance receptive field of small face, and use NWD Loss to make up for the sensitivity of IoU to the location deviation of tiny objects.
YOLO-FaceV2: A scale and occlusion aware face detector
WEBIn this paper, we propose a novel real-time face detector, YOLO-FaceV2, built upon the YOLOv5 architecture. Our approach introduces a Receptive Field Enhancement (RFE) module designed to extract multi-scale pixel information and augment the receptive field for accurately detecting small faces.
Deepfake video detection: YOLO-Face convolution recurrent …
WEBSep 21, 2021 · The faces are detected out of frames using YOLO-Face detector. You Only Look Once (YOLO) is a popular, and fast real-time object detection technique that uses only one neural network to take the entire image in a single shot.
YOLO-face: a real-time face detector - Semantic Scholar
WEBMar 12, 2020 · Aimed to solve the detection problem of varying face scales, we propose a face detector named YOLO-face based on YOLOv3 to improve the performance for face detection. The present approach includes using anchor boxes more appropriate for face detection and a more precise regression loss function.
yoloface - PyPI
WEBApr 28, 2021 · This project focuses on improving the accuracy of detecting the face using the model of deep learning network (YOLO). This network divides the image into regions and predicts bounding boxes and probabilities for each region.
Yusepp/YOLOv8-Face: YOLOv8 for Face Detection - GitHub
WEBFeb 23, 2024 · YOLOv8 for Face Detection. The project is a fork over ultralytics repo. They made a simple interface for training and run inference. Model detects faces on images and returns bounding boxes, score and class.
Face Detection in Python using YOLO: A Practical Guide
WEBAug 17, 2024 · This tutorial introduces you to YOLO, one of the most powerful and efficient object detection algorithms in Computer Vision. You’ll learn how to leverage YOLO in Python for face detection with just a few lines of code.
Ultralytics/YOLOv8 - Hugging Face
WEBExperience seamless AI with Ultralytics HUB ⭐, the all-in-one solution for data visualization, YOLOv5 and YOLOv8 🚀 model training and deployment, without any coding.
YOLO-FaceV2: A Scale and Occlusion Aware Face Detector
WEBDownload the WIDER FACE dataset. Then convert it to YOLO format. # You can modify convert.py and voc_label.py if needed. The link is yolo-facev2s.pt. Train your model on WIDER FACE. --data data/WIDER_FACE.yaml . --cfg models/yolov5s_v2_RFEM_MultiSEAM.yaml . --batch-size 32 . --epochs 250.
Comparative Analysis of Improved YOLO v5 Models for …
WEB2 days ago · Coastal areas face severe corrosion issues, posing significant risks and economic losses to equipment, personnel, and the environment. YOLO v5, known for its speed, accuracy, and ease of deployment, has been employed for the rapid detection and identification of marine corrosion. However, corrosion images often feature complex …
Deep learning based Face detection using the YOLOv3 algorithm
WEBDeep learning based Face detection using the YOLOv3 algorithm Getting started The YOLOv3 (You Only Look Once) is a state-of-the-art, real-time object detection algorithm.
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