This multi-year initiative will transform schoolyards in Yolo County’s @WashingtonUnifiedSchoolDistrict and @WoodlandJointUnifiedSchoolDistrict from gray to green to create more engaging outdoor learning spaces for students and teachers.

Cool Schools Yolo is transforming nine Title I school campuses in West Sacramento and Woodland, planting trees and gardens, installing walking trails, nature-based play spaces and so much more.

The Cool Schools Program™, developed by Texas Trees Foundation, transforms schoolyards from gray to green, connecting students and teachers to nature through tree planting and the creation of fun, experiential outdoor learning areas. Texas Trees Foundation is bringing its award-winning Cool Schools Program™ to Yolo County, California.

Cool Schools Yolo County connects students and teachers to nature by transforming school campuses through tree planting and the creation of fun, experiential outdoor learning areas. The program promotes environmental stewardship and aims to nurture a life-long love of exploration and appreciation for the natural environment.

Oct 8, 2024 · YOLO11, the latest YOLO model from Ultralytics, delivers SOTA speed and efficiency in object detection. Discover what’s new, how it outperforms YOLOv12.

May 25, 2024 · By eliminating non-maximum suppression (NMS) and optimizing various model components, YOLOv10 achieves state-of-the-art performance with significantly reduced computational overhead. Extensive experiments demonstrate its superior accuracy-latency trade-offs across multiple model scales.

May 27, 2024 · YOLOv10 aims to further advance the performance-efficiency boundary of YOLOs from both the post-processing and the model architecture. It first present the consistent dual assignments for...

Cool Schools Yolo County connects students and teachers to nature by transforming school campuses through tree planting and the creation of fun, experiential outdoor learning areas.

YoloP was designed to perform three visual perception tasks: traffic object detection, drivable area segmentation and lane detection simultaneously in real-time on an embedded device (Jetson TX2, 23 FPS). It is based on one encoder for feature extraction and three decoders to handle the specific tasks. Yolov7 official (2022) Chien-Yao Wang at all.

Jan 25, 2024 · Explore the YOLO (You Only Look Once) model evolution, from foundational principles to the latest advancements in object detection, guiding both developers and researchers towards optimal application and understanding.