Generates synthetic training data for computer vision models using game engines and domain randomization.
Training computer vision models requires vast amounts of labeled data, which is slow, expensive, biased, and raises privacy issues when collected manually.
Training computer vision models requires vast amounts of labeled data, which is slow, expensive, biased, and raises privacy issues when collected manually.
Provides synthetic data generated on demand using game engines and domain randomization, offering unbiased, diverse, perfectly labeled datasets without privacy concerns.
Provides synthetic data generated on demand using game engines and domain randomization, offering unbiased, diverse, perfectly labeled datasets without privacy concerns.
Ceased operations.
Ceased operations.
Zumo Labs developed synthetic data solutions for computer vision applications. The company focused on creating pre-labeled, customizable datasets to address challenges in training AI models.
Zumo Labs utilized game engines to produce synthetic training data. This approach enabled the creation of diverse, unbiased datasets free from privacy concerns. Techniques like domain randomization helped bridge gaps between synthetic and real-world data appearances.
The datasets supported key computer vision tasks, including human activity recognition, object detection, and defect detection. Applications spanned office, warehouse, and retail environments, aiding sectors such as transportation, manufacturing, logistics, and retail.
Zumo Labs developed synthetic data solutions for computer vision applications. The company focused on creating pre-labeled, customizable datasets to address challenges in training AI models.
Zumo Labs utilized game engines to produce synthetic training data. This approach enabled the creation of diverse, unbiased datasets free from privacy concerns. Techniques like domain randomization helped bridge gaps between synthetic and real-world data appearances.
The datasets supported key computer vision tasks, including human activity recognition, object detection, and defect detection. Applications spanned office, warehouse, and retail environments, aiding sectors such as transportation, manufacturing, logistics, and retail.
Total Raised: $150K
Last Round: Seed
Total Raised: $150K
Last Round: Seed
B2B SaaS for synthetic data generation
B2B SaaS for synthetic data generation
Companies in transportation, manufacturing, logistics, retail, and other vision-dependent sectors
Companies in transportation, manufacturing, logistics, retail, and other vision-dependent sectors
Mentioned in CB Insights research on Feb 20, 2024.
Hiring: unknown
Mentioned in CB Insights research on Feb 20, 2024.
Hiring: unknown
Zumo Labs offered zpy, a synthetic data toolkit for collecting, labeling, and cleaning computer vision data. The platform allowed on-demand generation of large, pixel-perfect datasets, streamlining the development of vision-based models.
Zumo Labs offered zpy, a synthetic data toolkit for collecting, labeling, and cleaning computer vision data. The platform allowed on-demand generation of large, pixel-perfect datasets, streamlining the development of vision-based models.
Primary sectors included transportation, workplace, manufacturing, logistics, residential, fitness, infrastructure, and retail. The solutions aimed to enhance workflows in areas reliant on real-time visual insights.
Primary sectors included transportation, workplace, manufacturing, logistics, residential, fitness, infrastructure, and retail. The solutions aimed to enhance workflows in areas reliant on real-time visual insights.
Zumo Labs operated in the growing field of AI training data, where synthetic data addresses limitations of manual collection, such as cost, bias, and edge case coverage. Based on available information from company profiles and research mentions.
Zumo Labs operated in the growing field of AI training data, where synthetic data addresses limitations of manual collection, such as cost, bias, and edge case coverage. Based on available information from company profiles and research mentions.
