Robot video and scene understanding
Put video decoding, AI pre-labeling, human review, and training handoff in one workflow instead of across multiple systems.
TjMakeBot aide les équipes de conduite autonome, de robotique et d’Embodied AI à gérer l’annotation 2D/3D, la revue humaine, l’entraînement cloud, l’export de modèles et la livraison sur une seule plateforme.
Put video decoding, AI pre-labeling, human review, and training handoff in one workflow instead of across multiple systems.
Build a closed loop around 2D images, 3D point clouds, low-confidence fallback, human review, training/export, and delivery summaries.
Upgrade embodied-AI dataset work from one-off labeling into a reusable production asset with review, versions, delivery, and acceptance.
Cette évolution ne consiste pas à ajouter encore une fonctionnalité AI, mais à relier l’entrée, la revue, l’entraînement et la livraison dans une boucle de production pour laquelle les clients acceptent de payer.
Manage manual uploads, API requests, and automated tasks in the same workflow so every project stays visible and organized.
Pre-labeling and automation move fast, while low-confidence items and key checkpoints return to the pro editor for human review.
Once review is complete, training, export, and model delivery continue automatically so customers do not have to stitch the flow together themselves.
The end result is not just a download link, but a traceable summary with metrics, versions, and delivery entry points.