As it is much said, data preparation is one of the greatest challenges any team willing to delve into the Deep Learning realm has to face. It’s no secret that challenges become more doable and easy when done with a companion and that’s why we’ve not only incorporated team management for dataset tasks into the core of our system, but we help you with our AI driven anotation companion.
Add team members and machine to your projects, assign tasks to them, keep the record of each team member
and annotate your datasets faster than ever, whether it’s an object detection dataest, Segmentation dataset or classification dataset.
Whether you want to label or annotate your images for models, undertake quality control tasks or train models with team members, we got all the right tools.
Use AI and machine learning at the edgeUse AI and machine learning at the edge
At the very core f the system, we have implemented an AI solution to help you ith annotations by detecting the foreground objects and selecting them against the background. You can even further and use any of the pretrained models to specifically detect the objects that you want in all your images without any input from your annotating team. Enabling you and your team to have thousands of annotated images in a few hours. Mixing this feature with our Google Image Engine enables you to build train ready dataset from scratch in a few hours.
Annotating or quality control of thousands of images takes a lot o time when done alone. You can add team members to be able to annotate and prepare yur dataset in a much shorter time and assign different tasks to them. When dealing with big teams, at times tasks get lost or people get confused. To make sure no confusion happenss. not only you can assign roles and tasks to each specific user. You can customize each user’s access levels to different projects or functions to make sure everything is under control. Furthermore you can always monitor each user’s, organization or functions activity.
Deploy into any public, private or classified software and hardware environment: on any cloud, air-gapped bare-metal or at the edge. Take advantage of edge-optimized model architectures that offer advanced predictive capabilities without taking up a ton of on-device memory. Deploy into any public, private or classified software and hardware environment: on any cloud, air-gapped bare-metal or at the edge. Take advantage of edge-optimized model architectures that offer advanced predictive capabilities without taking up a ton of on-device memory.