Proudly presenting our Rockstar CEO, Eran Shlomo, who talks about continuous integration for deep learning datasets at the Computer Vision Festival. This session covers:
- Why deep learning algorithms are reliant on high-quality training data
- How to stop large quantities of unstructured datasets from becoming a bottleneck
- Creating a single system for complete dataset preparation
Make Your Training Data More Efficient, Scalable and Manageable with Dataloop
AI-ASSISTED ANNOTATIONS
Create, automate and validate your data accuracy using dozens of annotation tools including polygons, pixel-accurate semantic segmentation, bounding boxes and more and fast track your image, video, and audio annotations.
DATA MANAGEMENT
Assign tasks, manage bugs and QA datasets optimizing your data operations from a single point of access. Integrate with REST API, Python SDK or work directly from within the annotation platform.
DATA WORKFLOWS
Automate data ops directly from your code as you design, develop and grow your operations within a serverless environment supporting customized functions & production pipelines and scale your models indefinitely.
Let's Discuss How to Scale Your Operations One Dataset at a Time
"Dataloop has helped us transform a complex computer vision data annotation challenge into an intuitive and efficient one. Thanks to their automation platform, our labeling has dropped exponentially, even while we see significant improvement in accuracy. Dataloop provides a valuable platform that gives us the ability to manage high definition aerial imagery to the pixel level." 
"The team at Dataloop provide a powerful platform with a suite of tools. Their data quality workflows enable us to accurately run road segmentations, lane detection and moving object video tracking. Thanks to Dataloop, we're able to successfully test our algorithms and improve our ADAS and autonomous driving features." 
"The Dataloop platform is a great asset to our model development. The team is always responsive and their product adaptability enables us to advance our AI, bringing unprecedented value to our customers" 
