Leverages pre-trained and custom computer vision models to automatically generate annotations (like bounding boxes, polygons) on images and video frames, drastically reducing manual labeling time.
Provides specialized tools for annotating video data, including frame-by-frame labeling, interpolation between keyframes, and tracking objects across sequences.
A web-based, real-time platform where multiple team members can simultaneously annotate, review, and manage datasets with assigned roles and permissions.
Organizes raw data, annotations, and model predictions into searchable, versioned datasets. Allows splitting, merging, and maintaining a history of changes.
Automates the workflow of training a model on labeled data, using it to pre-label new data, and then sending low-confidence predictions back to human annotators for review.
Offers direct connections to cloud storage (AWS S3, GCS, Azure) and communication tools (Slack), plus a comprehensive REST API for automating data pipelines.
Healthcare AI researchers and radiologists use V7 to annotate X-rays, MRIs, and CT scans to train models for detecting anomalies like tumors or fractures. They upload DICOM images, use specialized annotation tools for precise segmentation, and leverage AI to pre-label common structures. This accelerates the creation of large, high-quality datasets necessary for developing diagnostic AI tools while maintaining strict compliance with data privacy standards through on-premise deployment options.
Self-driving car companies utilize V7 to label vast amounts of video and LiDAR data captured from vehicle sensors. Teams annotate pedestrians, vehicles, traffic signs, and lane boundaries across thousands of video frames. The platform's video interpolation and tracking features are essential for maintaining temporal consistency, while the collaborative workspace allows large, globally distributed annotation teams to work efficiently on the same massive dataset.
Manufacturing engineers deploy V7 to build computer vision systems that detect defects on production lines. They upload images of products, annotate examples of good and defective items (e.g., scratches, misalignments), and train custom models. The active learning pipeline continuously improves the model by having it flag uncertain cases for human review, leading to highly accurate automated inspection that reduces waste and downtime.
Retail analysts use V7 to train models for shelf monitoring, inventory counting, and customer behavior analysis. They annotate images from in-store cameras to identify product stock levels, planogram compliance, and customer foot traffic patterns. The ability to handle diverse retail environments and the collaborative tools enable teams to quickly adapt models to new products or store layouts, optimizing stock management and store operations.
Agritech companies and researchers employ V7 to analyze drone and satellite imagery for crop health, yield prediction, and pest detection. They annotate images to label different crop types, identify areas of disease or stress, and count plants. The platform's ability to manage large geospatial datasets and support polygon annotations for irregular field boundaries is key to developing precision agriculture solutions that help optimize resource use and increase yields.
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15Five operates in the people analytics and employee experience space, where platforms aggregate HR and feedback data to give organizations insight into their workforce. These tools typically support engagement surveys, performance or goal tracking, and dashboards that help leaders interpret trends. They are intended to augment HR and management decisions, not to replace professional judgment or context. For specific information about 15Five's metrics, integrations, and privacy safeguards, you should refer to the vendor resources published at https://www.15five.com.
20-20 Technologies is a comprehensive interior design and space planning software platform primarily serving kitchen and bath designers, furniture retailers, and interior design professionals. The company provides specialized tools for creating detailed 3D visualizations, generating accurate quotes, managing projects, and streamlining the entire design-to-sales workflow. Their software enables designers to create photorealistic renderings, produce precise floor plans, and automatically generate material lists and pricing. The platform integrates with manufacturer catalogs, allowing users to access up-to-date product information and specifications. 20-20 Technologies focuses on bridging the gap between design creativity and practical business needs, helping professionals present compelling visual proposals while maintaining accurate costing and project management. The software is particularly strong in the kitchen and bath industry, where precision measurements and material specifications are critical. Users range from independent designers to large retail chains and manufacturing companies seeking to improve their design presentation capabilities and sales processes.
3D Generative Adversarial Network (3D-GAN) is a pioneering research project and framework for generating three-dimensional objects using Generative Adversarial Networks. Developed primarily in academia, it represents a significant advancement in unsupervised learning for 3D data synthesis. The tool learns to create volumetric 3D models from 2D image datasets, enabling the generation of novel, realistic 3D shapes such as furniture, vehicles, and basic structures without explicit 3D supervision. It is used by researchers, computer vision scientists, and developers exploring 3D content creation, synthetic data generation for robotics and autonomous systems, and advancements in geometric deep learning. The project demonstrates how adversarial training can be applied to 3D convolutional networks, producing high-quality voxel-based outputs. It serves as a foundational reference implementation for subsequent work in 3D generative AI, often cited in papers exploring 3D shape completion, single-view reconstruction, and neural scene representation. While not a commercial product with a polished UI, it provides code and models for the research community to build upon.
