Chat
Online
Inquiry
Home > Guangdong protective clothing production company

Guangdong protective clothing production company

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.
Guangdong protective clothing production company
Object detection: speed and accuracy comparison (Faster R ...
Object detection: speed and accuracy comparison (Faster R ...

28/3/2018, · *denotes small object data augmentation is applied. ** indicates the results are measured on VOC 2007 testing set. We include those because the YOLO paper misses many VOC 2012 testing results. Since VOC 2007 results are in general performs better than …

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

28/12/2017, · YOLO ,vs, SSD ,vs, Faster-,RCNN, for various sizes Choice of a right object detection method is crucial and depends on the problem you are trying to solve and the set-up. Object Detection is the backbone of many practical applications of computer vision such as autonomous cars, security and surveillance, and many industrial applications.

YOLO3: A Huge Improvement – mc.ai
YOLO3: A Huge Improvement – mc.ai

YOLOv3, ! is fast, has at par accuracy with best two stage detectors (on 0.5 IOU) and this makes it a very powerful object detection model. Applications of Object Detection in domains like media, retail, manufacturing, robotics, etc need the models to be very fast(a little compromise on accuracy is okay) but ,YOLOv3, is also very accurate.

What Do Anonymous' Masks Mean? They're Steeped In ...
What Do Anonymous' Masks Mean? They're Steeped In ...

And for centuries after Britons would use these ,masks,, with that distinct caricature of his face, to make effigies to destroy on the plot's anniversary: Nov. 5, 1605. Adam Berry/Getty Images News ...

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

Yolov3, is an object detection network part of yolo family (Yolov1, Yolov2). It can detect various things of different sizes, runs quite fast and make real-time inference possible on various devices.

Is YOLO or Mask-R-CNN easier/simpler/quicker to implement ...
Is YOLO or Mask-R-CNN easier/simpler/quicker to implement ...

YOLO ,vs R-CNN,/Fast ,R-CNN,/Faster ,R-CNN, is more of an apples to apples comparison (YOLO is an object detector, and ,Mask R-CNN, is for object detection+segmentation). YOLO is easier to implement due to its single stage architecture. Faster inference times …

How to Improve YOLOv3 | Paperspace Blog
How to Improve YOLOv3 | Paperspace Blog

29/6/2020, · YOLO has been a very popular and fast object detection algorithm, but unfortunately not the best-performing. In this article I will highlight simple training heuristics and small architectural changes that can make YOLOv3 perform better than models like Faster R-CNN and Mask R-CNN.

Me testing Yolo v3 vs Mask R-CNN : computervision
Me testing Yolo v3 vs Mask R-CNN : computervision

16 votes, 13 comments. 37.5k members in the computervision community. Computer vision is focused on extracting information from the input images or …

Me testing Yolo v3 vs Mask R-CNN : computervision
Me testing Yolo v3 vs Mask R-CNN : computervision

16 votes, 13 comments. 37.5k members in the computervision community. Computer vision is focused on extracting information from the input images or …

Labelme to Data-Augmentation to Mask-RCNN or YOLOV3 Pipeline
Labelme to Data-Augmentation to Mask-RCNN or YOLOV3 Pipeline

In this repository, we present a pipeline that augments datasets of very limited samples (eg. 1 sample per class) to a larger dataset (eg. 5000 samples per class) that Mask R-CNN or YOLOv3 can directly read. Original image: Augumented image: The pipeline will first …

YOLO vs Faster RCNN | Everitt’s blog
YOLO vs Faster RCNN | Everitt’s blog

10/8/2018, · This post talks about YOLO and Faster-,RCNN,. These are the two popular approaches for doing object detection that are anchor based. Faster ,RCNN, offers a regional of interest region for doing convolution while YOLO does detection and classification at the same time. I would say that YOLO appears to be a cleaner way of doing object detection since it’s fully end-to-end training. The Faster ,RCNN, …

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

2.2 ,Mask RCNN,: The ,Mask RCNN, framework was created by Facebook’s AI Research team or FAIR in 2017. This relatively new Framework is an extension of Faster ,RCNN,. So, just like Fast ,RCNN, and Faster ,RCNN,, ,Mask RCNN, is also a deep neural network. ,Mask RCNN, solves the problems of instance segmentation in machine learning and computer vision. [15]

Mask R-CNN for Ship Detection & Segmentation | by Gabriel ...
Mask R-CNN for Ship Detection & Segmentation | by Gabriel ...

In this post we’ll use ,Mask R-CNN, to build a model that takes satellite images as input and outputs a bounding box and a ,mask, that segments each ship instance in the image. We’ll use the train ...

Deep learning based Object Detection and Instance ...
Deep learning based Object Detection and Instance ...

Compared to other object detectors like ,YOLOv3,, the network of ,Mask,-,RCNN, runs on larger images. The network resizes the input images such that the smaller side is 800 pixels. Below we will go in detail the steps needed to get instance segmentation results.

GitHub - LiuShuai26/Mask-YOLOv3: YOLOv3 with Mask
GitHub - LiuShuai26/Mask-YOLOv3: YOLOv3 with Mask

The network can be divided into two parts, one is YOLOv3 and the other is Mask branch. Training: first train the YOLOv3 network, fine-tune tiny YOLOv3. Once the training is complete, train the entire network together. Mask-YOLOv3 can be easily switching backbone to satisfy the speed and precision trade-offs.