A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
Meet the personal assistant for your schedule (only better) that works 24/7 behind the scenes to fill your calendar and take work off your plate. From the moment clients book with you, Acuity is there to automatically send branded & customized booking confirmations, deliver text reminders, let clients reschedule on their own, and process payments so your day-to-day runs smoother even as business get busier. All you need to do is show up at the right time.
A responsive scheduling page means that clients can book appointments from their desktop, tablet, or phone. You can also manage appointments directly from your desktop, tablet, or phone too.
Join the thousands of businesses who have booked millions of appointments already through Acuity Scheduling!
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Service goes down often. Very slow team. Slow support.
Labelbox might be a bit more popular than Acuity Scheduling. We know about 8 links to it since March 2021 and only 6 links to Acuity Scheduling. 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: about 2 years ago
LabelBox - they provide free versions for research. Source: about 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: over 2 years ago
I love (acuityscheduling.com). All the best to you. If you need a website please reach out. All the best to you!! (proquestdigital.com). Source: 12 months ago
Have you checked acuity? https://acuityscheduling.com seems to be very popular and simple to use. Source: about 2 years ago
In my search, I stumbled upon https://acuityscheduling.com and it seems to check the boxes (wihtout havign actually tried their demo yet) but it is definitely more expensive than corsizio and I wonder if I need everything it can do. Do any of you have any experience with Acuity Scheduling? Would it be a good fit for my small business or is there something better? Source: about 2 years ago
Acuity scheduling does what you're asking https://acuityscheduling.com. Source: over 2 years ago
Acuity or Calendly would also let you do this. People normally use these sites to allow their clients to schedule meetings or classes, but you could certainly set up a calendar for your boss where you are the only "client" — you're the only person who schedules meetings. It's a bit more complicated than the Google Calendar option, but it might give you what you want. I'm a professional leadership and executive... Source: over 2 years ago
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