Performs pixel-accurate segmentation of multiple object instances in images and video at speeds exceeding 30 FPS on a single GPU. It outputs both bounding boxes and masks for each detected object.
Generates a set of non-local prototype masks across the entire image and predicts per-instance mask coefficients. The final masks are produced via a linear combination, decoupling mask resolution from detection.
Implements a lightweight, GPU-optimized Non-Maximum Suppression (NMS) algorithm that efficiently filters overlapping detections post-inference.
The training script supports data-parallel distributed training across multiple GPUs, accelerating the model training process on large datasets.
Provides straightforward utilities and configuration files to train YOLACT on custom datasets formatted in the standard COCO annotation style.
Developers in autonomous driving use YOLACT to process real-time video feeds from vehicle cameras. It segments and identifies pedestrians, vehicles, and road obstacles at high frame rates. This precise, instantaneous understanding of the environment is crucial for path planning and collision avoidance systems, enhancing safety and decision-making.
Robotics engineers integrate YOLACT into robotic arms or mobile robots to enable object picking and manipulation. By segmenting objects from a cluttered scene, the robot can accurately determine the shape and location of items. This allows for more reliable grasping and sorting in warehouses, manufacturing, or domestic assistance tasks.
Security system developers deploy YOLACT to analyze live surveillance footage. It can track and segment individuals, vehicles, or abandoned objects across video frames in real time. This enables advanced analytics like crowd counting, intrusion detection, and behavior analysis without the latency of cloud processing.
AR/VR creators use YOLACT for real-time scene understanding to overlay digital content accurately onto the physical world. By segmenting users and objects in the camera feed, it enables realistic occlusion and interaction. This improves immersion in applications ranging from gaming to remote assistance and virtual try-on.
Researchers in bioinformatics and radiology fine-tune YOLACT on medical datasets to segment cells, tumors, or anatomical structures from microscopy or MRI images. The model's ability to delineate multiple instances helps in quantitative analysis, such as cell counting or lesion measurement, aiding in diagnosis and research.
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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.
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