segmentive.ai
@segmentive
Segmentive is an innovative video segmentation technology for mobile devices
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Segmentive>> Seamlessly fusing physical and digital worlds in real-time! #segmentation #mobile #technology
Gotta say I’m quite optimistic when the official Meta stores mixed reality is this bad. Come on guys.
Oculus have introduced a new way to build and test apps that open new possibilities for #mixedreality experiences. Passthrough API Experimental will be available in their upcoming v31 #SDK release to create new experiences for productivity and gaming ow.ly/q7sm50FPyZH
Check out the quality of our @segmentive SDK in action at @LIV. You can now overlay yourself while playing VR games without a green screen studio. #MixedReality #VR #OculusQuest
Did more tests today with @LIV's Quest on PC, plus segmentive (auto background remover, no green screen needed!) Same camera, two different methods of background removal: Oh yeah, and @BoomBoxVR is on Quest's App Lab now. ❤️
Google has been using #machinelearning to help create an upcoming version of their TPU chips. Work that takes months for humans can be accomplished by #AI in under six hours. AI is now helping accelerate the future of AI – awesome to consider! ow.ly/kdee50Fnwba
Always great to see success from start-ups in the #AI industry. Tractable have reached Unicorn status following their Series D round – congratulations! Tractable believeto 50% of insurer’s claims could be processed solely by AI using #computervision. forbes.com/sites/iainmart…
Trigo has produced a new system that includes both camera hardware and encrypted, privacy-compliant software to enable “grab and go” shopping. REWE have also backed the #AI startup, meaning that we could have this tech in Berlin sometime soon. ow.ly/f3Xt50FnvF3
OSAI’s cutting-edge sports technology combines #computervision and #machinelearning algorithms to provide real-time data on the players, the ball, and even the referee. OSAI stats and analysis can be integrated with any viewing device including live TV ow.ly/Px6w50FmzNP
IBM’s #AI research division has released a 14-million-sample dataset to develop machine learning models that can help in programming tasks. The tech giants say it will help human developers be more productive when it comes to creating #deeplearning models ow.ly/n4KH50FfHIM
NVIDIA AI created DatasetGAN last month, which can be trained with as few as 16 human-annotated images. NVIDIA believe their new system for generating #syntheticimages performs as well as fully-supervised systems requiring 100x more annotated images ow.ly/FGsv50FcnW7
Interesting project showing a new generative model for #3D garments for #CVPR2021. This data-driven method for virtual try-on shows us an effective way to address garment-body collisions by utilising a novel self-supervised collision term #computervision mslab.es/projects/SelfS…
Interesting to see @unity3d join the #AI conversation. Unity is primarily known for its 3D gaming engine, but we have another player that has developed synthetic image datasets that can be used to create #computervision and AI models for a much lower cost ow.ly/n5SC50EWJfu
Fascinating dataset here – can we train an #AI model to recognise unintentional actions in videos using #deeplearning? Analysing human goals from videos is challenging in #computervision since people are usually competent and in control of their actions. oops.cs.columbia.edu
There are currently so many great use cases for #computervision and #AI – it is at the core of helping agronomists enable autonomous machines in the field. Remote agriculture could soon become a reality with the boom that computer vision has seen recently.
Most cargo ships are equipped with security cameras, yet #computervision cameras are rare. OrcaAI is looking to introduce autonomous guidance to vessels already at sea, which is a fascinating use case for #AI and a step forwards in the maritime industry ow.ly/o5el50EKBvY
DARPA is looking to improve #computervision techniques and start a “third wave” of #AI research to reduce the complexity of image datasets by using neural networks that process individual pixels ow.ly/QfE650EiIIZ
By combining #computervision and deep-learning #AI, robotics researchers are developing exoskeletons and prosthetic legs that can recognise features of the surrounding environment of the user like stairs and have robotic legs manoeuvre them automatically ow.ly/cguP50EiHHu
Datagen have emerged from stealth to deliver photorealistic synthetic datasets suitable for AR/VR, IoT, robotics and smart car use cases. Founder Ofir Chakon believes that #computervision can be an amazing tool for defect and risk detection #AI ow.ly/x3d350EiH4E
Facebook AI’s latest #computervision model SEER can analyse and process trillions of pixels and classify them based on objects detected without any labels or captions. When given one billion public images to organise, it did so with an accuracy of 82.4% ow.ly/TmbK50EiGuv
#artificialintelligence startup @buildots are taking the first steps to utilise AI and deep learning in robotics in construction. They attach 360 cameras onto project managers’ hardhats to collect footage inside the construction site ow.ly/6anC50Ed2Gs
Interesting announcement from @IridaLabs >> PerCV. ai, the brand-new software and services platform that supports the full Vision-AI product lifecycle and integrates #machinelearning models for people, vehicles, or any type of object detection ow.ly/2gWg50E8uVr
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