SafeBet.ai
LiveTV
SportLemon
Stream2watch
Kega Fusion
Strava
CricFree
JEFIT
Labelbox
Playment
V7
CloudFactory
Supervisely
Hive
Universal Data Tool
CrowdFlower
SafeBet.ai is one of those new companies which went viral in 2023 due to the use of artificial intelligence. Their AI has analyzed over 20.000 games in different sports. Making accurate predictions for what will happen in future games.
This way helping a rapidly growing community of sports bettors to beat the books.
Elevate your bets with AI sports picks instead of making emotional decisions. Let SafeBet.ai look at the data!
A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
SafeBet.ai LabelboxNo SafeBet.ai videos yet. You could help us improve this page by suggesting one.
Another AI tool which works as magic! It's very accurate in its sports predictions, amazed by the results!
Easy to use software. Helps me to analyze the games in advance.
Great sports picks software which has helped improve my bets. Been using it for 2 weeks now and will definitely continue.
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: 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: about 2 years ago
LiveTV - LiveTV is a free web-based portal for getting the live streaming of the ongoing matches and tournaments of several sports and games across the different areas of the world.
Playment - Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.
SportLemon - SportLemon is an entertainment type website over the internet that lets the sports lovers watch live sports online.
V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
Stream2watch - Watch live sport online. Streaming all Sports and live television online for free
CloudFactory - Human-powered Data Processing for AI and Automation
