Boxon Logistics
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We are a leading cloud-based logistics software company in Miami, United States, Our Boxon Logistics Software (SaaS Software) solution specializes in last-mile delivery logistics and empowers thousands of retail businesses to save money and time as they deliver their Freight, B2B, retail, to E-commerce products to end users and businesses locally and globally.
Our Boxon Logistics Software is designed for P.O. Box, Freight Forwarders, and other Logistics providers to provide end-to-end visibility and control over your inventory. From warehouse management to freight tracking and delivery of packages, our solutions offer seamless integration and real-time data insights, enabling you to make informed decisions and stay ahead of the competition.
One of the key strengths of Boxon Logistics Software is Mobile App, which you can manage from Picking to delivery operations. With years of experience in logistics and technology, our professionals work closely with our clients to understand their unique requirements and customize our software to meet their specific needs.
We pride ourselves on delivering cost-effective solutions that drive tangible results for our clients. Our software is user-friendly, scalable, and built to adapt to the ever-evolving logistics landscape, ensuring that your business stays agile and responsive to market changes.
At Boxon, we prioritize security and data integrity. Our software is equipped with robust security features to safeguard your sensitive information and protect your business from potential threats.
We are committed to providing exceptional support and service to our clients. Our dedicated customer support team is available to assist with any queries or issues that may arise, ensuring a smooth & hassle-free experience with our software.
Contact us today for a personalized demo, and let's embark on a journey of efficiency, cost savings, and enhanced customer satisfaction in your logistics operations.
A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
Boxon Logistics LabelboxNo features have been listed yet.
Service goes down often. Very slow team. Slow support.
Based on our record, Labelbox seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Labelbox | Remote | Frontend / WebGL, Backend, Engineering Managers | https://labelbox.com Labelbox is building the training data platform to power breakthroughs in machine learning. We provide an end to end solutions for the full AI lifecycle from creating catalogs of unstructured data all the way to building the tools for humans to label the data to teach machines. Why choose us? - Source: Hacker News / over 1 year ago
Hey, I have currently developed a U-Net model for segmentation and I am trying to use the model assisted labeling feature on LabelBox to annotate some masks, so I can save time on relabeling. I am just wondering if anyone is familiar with this feature or can give me a step by step guideline on how to go about doing this. I went through the examples on their GitHub but I’m honestly still very confused. Any help... Source: almost 2 years ago
By now, I hope you see where I'm going with this. What is MDR doing? They're creating the labelled data used to train severance chips. They get a raw download of human brains in encoded format, and go about manually labelling the different pieces based on their most basic elements. Then, based on this manually labelled data, an algorithm can be trained to create a severance chip. MDR is basically Labelbox for... Source: almost 2 years ago
LabelBox - they provide free versions for research. Source: almost 2 years ago
Doing some progress, labelbox.com allows me to do the Video annotation, and access all data through python SDK/API... Working on converting myself to CSV GCP format :-). Source: about 2 years ago
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