The upcoming platform promises secure #datamanagement and collaboration.
It will enable open source #deeplearning algorithms to deploy models without code.
Our 6‑step Labellerr solution makes the AI journey easier so that even business experts can build AI with basic knowledge of deep learning!
Approximately 80 % of the data that organisations are collecting is unstructured.
I offered a free‑access signup URL for the no‑code custom object‑detection implementation: https://zcu.io/HDVY.
An example implementation is publicly available at https://zcu.io/I3s1.
I partnered with Labellerr to provide the end‑to‑end data‑annotation component of the solution.
The decision to provide free access was made to lower the barrier for researchers and practitioners, encouraging adoption and feedback while showcasing Labellerr’s capability to support a complete AI workflow without any coding steps.
In a brief promotional note on 2020‑11‑02 I recommended trying Labellerr as a platform that both annotates unstructured data and manages that data, simplifying the AI journey from building image‑classification models to tackling object‑detection problems.
I recommended trying Labellerr for end‑to‑end AI workflow support, emphasizing its dual role in annotation and data management to reduce setup complexity.
The post also highlighted an attached video preview and used hashtags #tensorflow #datascience #deeplearning #videoanalytics.