We know data processing is a vital part of MLOps, especially for AI engineers focusing on data collection and the outcome of the model prediction. The biggest challenges are the uncertainty of data quality, the high cost of experiments, and the lack of proper tools for data labeling.
BasicAI is now launching our new project Xtreme1 open-source！
This is a very revolutionary tool that is widely used for real-time image processing and sensor processing. Some Xtreme1 highlights include:
Data labeling for images, 3D LiDAR, and 2D&3D Sensor Fusion dataset
Optimized OpenPCDet model for LiDAR-based 3D Object Detection
YOLOR PyTorch Object Detection Model
Ontology provides preset general classes (hierarchies) and attributes for use in your model training.
Data management and quality control
Data debug and model-training
AI-powered tools for model performance evaluation
Xtreme1 is also available for Python developers who want to integrate their own AI functionality into their applications.
It is available for Windows, Mac, and Linux. You can download Docker Compose desktop for a quick start or develop locally.
git clone https://github.com/basicai/xtreme1.git
docker compose up
BasicAI, provides the world's first FREE commercial-level LiDAR data annotation platform. With Xtreme1, a data-centric MLOps Platform that quickly develops and iterates your AI models, your full AI-lifecycle is taken care of with reproducibility, manageability, and automation. It's one-stop. It's hassle-free.
We believe that by doing so, we would greatly benefit the majority of ML engineers, data scientists, as well as algorithm engineers in the world, so we could fasten the AI ecosystem and together we make a better world for our humanity.