Chat
Online
Inquiry
Home > 3a surgical mask

3a surgical mask

Shanghai Sunland Industrial Co., Ltd is the top manufacturer of Personal Protect Equipment in China, with 20 years’experience. We are the Chinese government appointed manufacturer for government power,personal protection equipment , medical instruments,construction industry, etc. All the products get the CE, ANSI and related Industry Certificates. All our safety helmets use the top-quality raw material without any recycling material.

Why Choose Us
Solutions to meet different needs

We provide exclusive customization of the products logo, using advanced printing technology and technology, not suitable for fading, solid and firm, scratch-proof and anti-smashing, and suitable for various scenes such as construction, mining, warehouse, inspection, etc. Our goal is to satisfy your needs. Demand, do your best.

Highly specialized team and products

Professional team work and production line which can make nice quality in short time.

We trade with an open mind

We abide by the privacy policy and human rights, follow the business order, do our utmost to provide you with a fair and secure trading environment, and look forward to your customers coming to cooperate with us, openly mind and trade with customers, promote common development, and work together for a win-win situation..

24 / 7 guaranteed service

The professional team provides 24 * 7 after-sales service for you, which can help you solve any problems

Certificate of Honor
Get in touch with usCustomer satisfaction is our first goal!
Email us
— We will confidentially process your data and will not pass it on to a third party.
3a surgical mask
Computer Vision: Instance Segmentation with Mask R-CNN ...
Computer Vision: Instance Segmentation with Mask R-CNN ...

In this article we will explore ,Mask R,-,CNN, to understand how instance segmentation works with ,Mask R,-,CNN, and then predict the segmentation for an image with ,Mask R,-,CNN, using Keras. Part 1- ,CNN,, ,R,-,CNN,, Fast ,R,-,CNN,, Faster ,R,-,CNN,. Part 2 — Understanding YOLO, YOLOv2, ,YOLO v3,. Part 3- Object Detection with ,YOLOv3, using Keras

(PDF) YOLOv3: Face Detection in Complex Environments
(PDF) YOLOv3: Face Detection in Complex Environments

Compared with Faster ,R,-,CNN,, ,Mask R,-,CNN,, and Multitask Cascade ,CNN,, the proposed G-,Mask, method has achieved promising results on FDDB, AFW, and WIDER FACE benchmarks. View full-text Article

Object detection: speed and accuracy comparison (Faster R ...
Object detection: speed and accuracy comparison (Faster R ...

In general, Faster ,R,-,CNN, is more accurate while ,R,-FCN and SSD are faster. Faster ,R,-,CNN, using Inception Resnet with 300 proposals gives the highest accuracy at 1 FPS. SSD on MobileNet has the highest mAP within the fastest models. This graph also helps us to locate some sweet spots with a good return in speed and cost tradeoff.

R-CNN Fast R-CNN Faster R-CNN YOLO — Object Detection ...
R-CNN Fast R-CNN Faster R-CNN YOLO — Object Detection ...

10/7/2018, · Fast ,R,-,CNN,. The same author of the previous paper(,R,-,CNN,) solved some of the drawbacks of ,R,-,CNN, to build a faster object detection algorithm and it was called Fast ,R,-,CNN,. The approach is similar to the ,R,-,CNN, algorithm. But, instead of feeding the region proposals to the ,CNN,, we feed the input image to the ,CNN, to generate a convolutional feature map.

Mask R-CNN Based Object Detection for Intelligent Wireless ...
Mask R-CNN Based Object Detection for Intelligent Wireless ...

Mask R,-,CNN, costs about 0.2s per image for detection and performs better than the other three frameworks according to the value of mAP and APS. Though ,YOLOv3, runs faster, we choose ,Mask R,-,CNN, because its detection time as 0.2s is acceptable to us. Due to access certification and power

Zero to Hero: Guide to Object Detection using Deep ...
Zero to Hero: Guide to Object Detection using Deep ...

28/12/2017, · ,R,-,CNN, solves this problem by using an object proposal algorithm called S elective Search which reduces the number of bounding boxes that are fed to the classifier to close to 2000 region proposals. Selective search uses local cues like texture, intensity, color and/or a measure of insideness etc to generate all the possible locations of the object.

Face Mask Detector using Deep Learning (YOLOv3) – mc.ai
Face Mask Detector using Deep Learning (YOLOv3) – mc.ai

Figure 1: image extracted from the paper “Faster ,R,-,CNN,: Towards Real-Time Object Detection with Region Proposal Networks” We decided to use ,YOLO v3,, but you can try other single shot models. YOLO (You Only Look Once) ,Yolov3, is an object detection network part of yolo family (Yolov1, Yolov2).

Face Mask Detector using Deep Learning (YOLOv3) – mc.ai
Face Mask Detector using Deep Learning (YOLOv3) – mc.ai

Figure 1: image extracted from the paper “Faster ,R,-,CNN,: Towards Real-Time Object Detection with Region Proposal Networks” We decided to use ,YOLO v3,, but you can try other single shot models. YOLO (You Only Look Once) ,Yolov3, is an object detection network part of yolo family (Yolov1, Yolov2).

Mask R-CNN with OpenCV - PyImageSearch
Mask R-CNN with OpenCV - PyImageSearch

19/11/2018, · The ,Mask R,-,CNN, algorithm was introduced by He et al. in their 2017 paper, ,Mask R,-,CNN,. ,Mask R,-,CNN, builds on the previous object detection work of ,R,-,CNN, (2013), Fast ,R,-,CNN, (2015), and Faster ,R,-,CNN, (2015), all by Girshick et al. In order to understand ,Mask R,-,CNN, let’s briefly review the ,R,-,CNN, variants, starting with the original ,R,-,CNN,:

Computer Vision — A journey from CNN to Mask R-CNN and ...
Computer Vision — A journey from CNN to Mask R-CNN and ...

This is the second article in the series to explore and understand the architecture and workings of YOLO(You only look once). click to get a detailed understanding of computer vision algorithms on ,CNN,, Region-based ,CNN,(,R,-,CNN,), Fast ,R,-,CNN,, Faster ,R,-,CNN,.This is Part 1.

Object detection: speed and accuracy comparison (Faster R ...
Object detection: speed and accuracy comparison (Faster R ...

In general, Faster ,R,-,CNN, is more accurate while ,R,-FCN and SSD are faster. Faster ,R,-,CNN, using Inception Resnet with 300 proposals gives the highest accuracy at 1 FPS. SSD on MobileNet has the highest mAP within the fastest models. This graph also helps us to locate some sweet spots with a good return in speed and cost tradeoff.

(PDF) YOLOv3: Face Detection in Complex Environments
(PDF) YOLOv3: Face Detection in Complex Environments

Compared with Faster ,R,-,CNN,, ,Mask R,-,CNN,, and Multitask Cascade ,CNN,, the proposed G-,Mask, method has achieved promising results on FDDB, AFW, and WIDER FACE benchmarks. View full-text Article

neural network - Mask R-CNN Instance Segmentation vs ...
neural network - Mask R-CNN Instance Segmentation vs ...

In this work, they used the ,Mask R,-,CNN, to detect the number of people. On the same hand, the Faster ,R,-,CNN, [2] is extended to ,Mask R,-,CNN, by adding a branch to predict segmentation ,masks, for each Region of Interest (RoI) generated in Faster ,R,-,CNN,. In the end, the authors measured the model in terms of Precision and Recall over the image sequences.

Size Invariant Ship Detection from SAR Images using YOLOv3 ...
Size Invariant Ship Detection from SAR Images using YOLOv3 ...

masks, for the objects in the image. ,Mask, RCNN takes a lot of time to train. On average it takes around a couple of days to be completely trained. Therefore, we took help from the pretrained weights of the COCO dataset trained on the ,Mask, RCNN model. 3. SYSTEM DIAGRAM Fig – 7: ,Mask R,-,CNN, 4. EXPERIMENTAL RESULTS For ,Yolo v3, : Loss Graph Plot :

Road Object Detection using Yolov3 and Kitti Dataset
Road Object Detection using Yolov3 and Kitti Dataset

Mask R,-,CNN, is an improved version of Faster ,R,-,CNN, that reduces the processing time of the algorithm [21]. ... ,Yolov3, network proposed a ,CNN, with 53 layers, so the network is called Dearknet-53. Fig. 3 shows the architecture of Darknet-53. The convolutional layers are followed by batch

Face Mask Detector using Deep Learning (YOLOv3) | by ...
Face Mask Detector using Deep Learning (YOLOv3) | by ...

Figure 1: image extracted from the paper “Faster ,R,-,CNN,: Towards Real-Time Object Detection with Region Proposal Networks” We decided to use ,YOLO v3,, but you can try other single shot models ...

(PDF) Application of Cascade R-CNN and YOLOv3 in Missile ...
(PDF) Application of Cascade R-CNN and YOLOv3 in Missile ...

YOLOv3, and Cascade ,R,-,CNN, algorithm to the m issile target recognition and det ection experiments. The experimental results show that th e t wo algorithms have thei ,r, own advantages. The accuracy