datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
yoloe
YOLOE: Real-Time Seeing Anything
Official PyTorch implementation of YOLOE.
This repository contains the code and models discussed in the paper YOLOE: Real-Time Seeing Anything.
Code: https://github.com/THU-MIG/yoloe
Comparison of performance, training cost, and inference efficiency between YOLOE (Ours) and YOLO-Worldv2 in terms of open text prompts.
YOLOE: Real-Time Seeing Anything.Ao Wang*, Lihao Liu*, Hui Chen, Zijia Lin, Jungong Han, and Guiguang Ding
We introduce… See the full description on the dataset page: https://huggingface.co/datasets/jameslahm/yoloe.yolo-emotionsA merged emotions dataset was created using a highly curated subset of ExpW, FER2013 (enhanced with FER2013+), AffectNet (6 emotions), and RAF-DB in YOLO format, totaling approximately 155K samples. A YOLOv11-x model, fine-tuned on the WiderFace dataset for the bounding boxes, was used. The distribution is as follows:
TRAIN Set Class Distribution:
Class 0 (Angry): 8511 (6.84%)
Class 1 (Disgust): 6307 (5.07%)
Class 2 (Fear): 4249 (3.41%)
Class 3 (Happy): 37714 (30.30%)
Class 4… See the full description on the dataset page: https://huggingface.co/datasets/AdamCodd/yolo-emotions.yolo-edible-fungi-disease-recognition-instance-segmentation
食用菌病害识别实例分割数据集
本数据集为食用菌病害识别实例分割数据集，适用于智慧农业领域的实例分割任务。
适用场景
农业智能化检测与病虫害识别
实例分割模型训练与部署
计算机视觉算法研究
网盘地址
在线下载链接：https://www.data2.cn
在线获取数据集：食用菌病害识别实例分割数据集
访问 https://www.data2.cn 访问 data2.cn 获取下载链接
yoloensembledata