АНИМЭЙТ v.3.5

We provide consulting

in Computer Vision and Deep Learning.

Our team creates and deploys optimized Deep Learning solutions.

What we do

People tracking and counting solution

Model size: 13 Mb

Our people counting platform is trained on large in-house people dataset. It provides state-of-the-art accuracy at 50x smaller model size and 370x less computations. The platform is flexible and can be used at the edge device like NVIDIA® Jetson™ or at a cloud server.

Our tools train optimized algorithms.

Fast.

Data annotation

Training engine

Our labelling team annotates custom data

Our in-house tools create optimized neural networks. We engineerd these to deliver the models up to 5 times faster.

Neural networks

for ARM and FPGA

Our pose detection algorithms are capable of human body pose analysis— which can be used for applications from automatic workout analysis to AR clothes fitting.

FPGA      MOBILE     CPU      CLOUD

50 Mb — Average detection model

600 Kb — Our model

Tech we’re

using

Our courses

CenterNet and new tracker CenterTrack

Docker practical session

Speaker: Ilya Kontaev

Speaker: Alexander Smorkalov

Speed it up: tricks&tips for working with GPU memory in CUDA

Virtual Machines & Docker

Speaker: Julia Bareeva

Speaker: Alexander Smorkalov

Careers

job

category

location

Have a project idea?

Let’s have a quick talk!

We will discuss how deep learning solutions can make your product smarter and make time and cost estimates.

hello@xperience.ai