目标检测算法——垃圾分类数据集汇总（附下载链接）

🎄🎄近期，小海带在空闲之余收集整理了一批垃圾分类数据集供大家参考。 整理不易，小伙伴们记得一键三连喔！！！🎈🎈

目录

一、Kaggle 垃��分类图片数据集

二、垃圾分类数据集

三、塑料-纸张-垃圾袋合成图像数据集

四、垃圾溢出数据集

关于YOLO算法改进及论文投稿可关注并留言博主的CSDN/QQ

>>>一起交流！互相学习！共同进步！

hr / h3 id="%E4%B8%80%E3%80%81Kaggle%20%E5%9E%83%E5%9C%BE%E5%88%86%E7%B1%BB%E5%9B%BE%E7%89%87%E6%95%B0%E6%8D%AE%E9%9B%86"一、Kaggle 垃圾分类图片数据集/h3 blockquote p数据集下载链接：https://www.cvmart.net/dataSets/p p该数据集是图片数据，分为训练集85%（Train）和测试集15%（Test）。其中O代表Organic（有机垃圾），R代表Recycle（可回收）。/p /blockquote p img height="639" src="https://img-blog.csdnimg.cn/eb1002c29a8547818a2da5db27c92ec1.jpeg" width="1080" //p h3 id="%E4%BA%8C%E3%80%81%E5%9E%83%E5%9C%BE%E5%88%86%E7%B1%BB%E6%95%B0%E6%8D%AE%E9%9B%86"二、垃圾分类数据集/h3 blockquote p数据集下载链接：http://suo.nz/3gb5Jj/p p该数据集包含来自 12 个不同类别的生活垃圾的 15,150 张图像；纸、纸板、生物、金属、塑料、绿色玻璃、棕色玻璃、白色玻璃、衣服、鞋子、电池和垃圾。/p /blockquote p img height="596" src="https://img-blog.csdnimg.cn/fcad796f8fb348569e9cba1f6cb8a0dd.png" width="1032" //p h3 id="%E4%B8%89%E3%80%81%E5%A1%91%E6%96%99-%E7%BA%B8%E5%BC%A0-%E5%9E%83%E5%9C%BE%E8%A2%8B%E5%90%88%E6%88%90%E5%9B%BE%E5%83%8F%E6%95%B0%E6%8D%AE%E9%9B%86"三、塑料-纸张-垃圾袋合成图像数据集/h3 blockquote p数据集下载链接：http://suo.nz/2i1p7K/p p该数据集包含塑料袋、纸袋和垃圾袋的合成图像。Bag Classes 文件夹分别包含每个图像类的 5000 张图像，而 ImageClassesCombined 文件夹包含所有组合的类的注释图像。注释采用 COCO 格式。/p /blockquote p img height="594" src="https://img-blog.csdnimg.cn/1b2d83f10a734c4b8665ea746b5e4576.png" width="1030" //p h3 id="%E5%9B%9B%E3%80%81%E5%9E%83%E5%9C%BE%E6%BA%A2%E5%87%BA%E6%95%B0%E6%8D%AE%E9%9B%86"四、垃圾溢出数据集/h3 blockquote p数据集下载链接：http://suo.nz/2iM1Dd /p /blockquote p img height="458" src="https://img-blog.csdnimg.cn/164ca55e82c74cc687a7ec04013e9346.png" width="628" //p hr / h2🚀🏆🍀【算法创新&算法训练&论文投稿】相关链接👇👇👇/h2 hr / h2✨【YOLO创新算法尝新系列】✨/h2 h3🏂 美团出品 | YOLOv6 v3.0 is Coming（超越YOLOv7、v8）/h3 h3🏂 官方正品 | Ultralytics YOLOv8算法来啦（尖端SOTA模型）/h3 h3🏂 改进YOLOv5/YOLOv7——魔改YOLOv5/YOLOv7提升检测精度（涨点必备）/h3 h3 id="%F0%9F%8C%B4%E3%80%90%E9%87%8D%E7%A3%85%E5%B9%B2%E8%B4%A7%E6%9D%A5%E8%A2%AD%E3%80%91%F0%9F%8E%84" ————————————🌴【重磅干货来袭】🎄————————————/h3 h3 id="%F0%9F%9A%80%E4%B8%80%E3%80%81%E4%B8%BB%E5%B9%B2%E7%BD%91%E7%BB%9C%E6%94%B9%E8%BF%9B%EF%BC%88%E6%8C%81%E7%BB%AD%E6%9B%B4%E6%96%B0%E4%B8%AD%EF%BC%89%F0%9F%8E%84%F0%9F%8E%88"🚀一、主干网络改进（持续更新中）🎄🎈/h3 h3 id="1.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88ConvNeXt%E7%BB%93%E6%9E%84%EF%BC%88%E7%BA%AF%E5%8D%B7%E7%A7%AF%7C%E8%B6%85%E8%B6%8ASwin%EF%BC%89"1.目标检测算法——YOLOv5/YOLOv7改进之结合ConvNeXt结构（纯卷积|超越Swin）/h3 h3 id="2.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88MobileOne%E7%BB%93%E6%9E%84%EF%BC%88%E9%AB%98%E6%80%A7%E8%83%BD%E9%AA%A8%E5%B9%B2%7C%E4%BB%85%E9%9C%801ms%EF%BC%89"2.目标检测算法——YOLOv5/YOLOv7改进之结合MobileOne结构（高性能骨干|仅需1ms）/h3 h3 id="3.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88Swin%20Transformer%20V2%EF%BC%88%E6%B6%A8%E7%82%B9%E7%A5%9E%E5%99%A8%EF%BC%89"3.目标检测算法——YOLOv5/YOLOv7改进之结合Swin Transformer V2（涨点神器）/h3 h3 id="4.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E7%BB%93%E5%90%88BotNet%EF%BC%88Transformer%EF%BC%89"4.目标检测算法——YOLOv5/YOLOv7改进结合BotNet（Transformer）/h3 h3 id="5.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8BGSConv%2BSlim%20Neck%EF%BC%88%E4%BC%98%E5%8C%96%E6%88%90%E6%9C%AC%EF%BC%89"5.目标检测算法——YOLOv5/YOLOv7改进之GSConv+Slim Neck（优化成本）/h3 h3 id="6.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E7%BB%93%E5%90%88%E6%96%B0%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%AE%97%E5%AD%90Involution%EF%BC%88CVPR%202021%EF%BC%89"6.目标检测算法——YOLOv5/YOLOv7改进结合新神经网络算子Involution（CVPR 2021）/h3 h3 id="7.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv7%E6%94%B9%E8%BF%9B%7C%E5%A2%9E%E5%8A%A0%E5%B0%8F%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E5%B1%82"7.目标检测算法——YOLOv7改进|增加小目标检测层/h3 h3 id="8.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%E6%94%B9%E8%BF%9B%7C%E5%A2%9E%E5%8A%A0%E5%B0%8F%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E5%B1%82"8.目标检测算法——YOLOv5改进|增加小目标检测层/h3 h3 id="%F0%9F%8C%B4%20%E6%8C%81%E7%BB%AD%E6%9B%B4%E6%96%B0%E4%B8%AD%E2%80%A6%E2%80%A6"🌴 持续更新中……/h3 h3 id="%F0%9F%9A%80%E4%BA%8C%E3%80%81%E8%BD%BB%E9%87%8F%E5%8C%96%E7%BD%91%E7%BB%9C%EF%BC%88%E6%8C%81%E7%BB%AD%E6%9B%B4%E6%96%B0%E4%B8%AD%EF%BC%89%F0%9F%8E%84%F0%9F%8E%88"🚀二、轻量化网络（持续更新中）🎄🎈/h3 h3 id="1.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88%E2%80%8BRepVGG%EF%BC%88%E9%80%9F%E5%BA%A6%E9%A3%99%E5%8D%87%EF%BC%89"1.目标检测算法——YOLOv5/YOLOv7改进之结合​RepVGG（速度飙升）/h3 h3 id="2.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88%E2%80%8BPP-LCNet%EF%BC%88%E8%BD%BB%E9%87%8F%E7%BA%A7CPU%E7%BD%91%E7%BB%9C%EF%BC%89"2.目标检测算法——YOLOv5/YOLOv7改进之结合​PP-LCNet（轻量级CPU网络）/h3 h3 id="3.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88%E8%BD%BB%E9%87%8F%E5%8C%96%E7%BD%91%E7%BB%9CMobileNetV3%EF%BC%88%E9%99%8D%E5%8F%82%E6%8F%90%E9%80%9F%EF%BC%89"3.目标检测算法——YOLOv5/YOLOv7改进之结合轻量化网络MobileNetV3（降参提速）/h3 h3 id="4.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%7C%E7%BB%93%E5%90%88%E8%BD%BB%E9%87%8F%E5%9E%8B%E7%BD%91%E7%BB%9CShuffleNetV2"4.目标检测算法——YOLOv5/YOLOv7改进|结合轻量型网络ShuffleNetV2/h3 h3 id="5.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E7%BB%93%E5%90%88%E8%BD%BB%E9%87%8F%E5%9E%8BGhost%E6%A8%A1%E5%9D%97"5.目标检测算法——YOLOv5/YOLOv7改进结合轻量型Ghost模块/h3 h3🌴 持续更新中……/h3 h3 id="%F0%9F%9A%80%E4%B8%89%E3%80%81%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6%EF%BC%88%E6%8C%81%E7%BB%AD%E6%9B%B4%E6%96%B0%E4%B8%AD%EF%BC%89%F0%9F%8E%84%F0%9F%8E%88"🚀三、注意力机制（持续更新中）🎄🎈/h3 h3 id="1.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88CBAM%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6"1.目标检测算法——YOLOv5改进之结合CBAM注意力机制/h3 h3 id="2.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88CBAM%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6"2.目标检测算法——YOLOv7改进之结合CBAM注意力机制/h3 h3 id="3.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E4%B9%8B%E7%BB%93%E5%90%88CA%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6"3.目标检测算法——YOLOv5/YOLOv7之结合CA注意力机制/h3 h3 id="4.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88ECA%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6"4.目标检测算法——YOLOv5/YOLOv7改进之结合ECA注意力机制/h3 h3 id="5.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88NAMAttention%EF%BC%88%E6%8F%90%E5%8D%87%E6%B6%A8%E7%82%B9%EF%BC%89"5.目标检测算法——YOLOv5/YOLOv7改进之结合NAMAttention（提升涨点）/h3 h3 id="6.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88GAMAttention"6.目标检测算法——YOLOv5/YOLOv7改进之结合GAMAttention/h3 h3 id="7.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88%E6%97%A0%E5%8F%82%E6%B3%A8%E6%84%8F%E5%8A%9BSimAM%EF%BC%88%E6%B6%A8%E7%82%B9%E7%A5%9E%E5%99%A8%EF%BC%89"7.目标检测算法——YOLOv5/YOLOv7改进之结合无参注意力SimAM（涨点神器）/h3 h3 id="8.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88Criss-Cross%20Attention"8.目标检测算法——YOLOv5/YOLOv7改进之结合Criss-Cross Attention/h3 h3 id="9.%E2%80%8B%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88%E2%80%8BSOCA%EF%BC%88%E5%8D%95%E5%B9%85%E5%9B%BE%E5%83%8F%E8%B6%85%E5%88%86%E8%BE%A8%E7%8E%87%EF%BC%89"9.​目标检测算法——YOLOv5/YOLOv7改进之结合​SOCA（单幅图像超分辨率）/h3 h3🌴 持续更新中……/h3 h3 id="%F0%9F%9A%80%E5%9B%9B%E3%80%81%E6%A3%80%E6%B5%8B%E5%A4%B4%E9%83%A8%E6%94%B9%E8%BF%9B%EF%BC%88%E6%8C%81%E7%BB%AD%E6%9B%B4%E6%96%B0%E4%B8%AD%EF%BC%89%F0%9F%8E%84%F0%9F%8E%88"🚀四、检测头部改进（持续更新中）🎄🎈/h3 h3 id="1.%E9%AD%94%E6%94%B9YOLOv5%2Fv7%E9%AB%98%E9%98%B6%E7%89%88%EF%BC%88%E9%AD%94%E6%B3%95%E6%90%AD%E9%85%8D%2B%E5%88%9B%E6%96%B0%E7%BB%84%E5%90%88%EF%BC%89%E2%80%94%E2%80%94%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88%E8%A7%A3%E8%80%A6%E5%A4%B4Decoupled_Detect"1.魔改YOLOv5/v7高阶版（魔法搭配+创新组合）——改进之结合解耦头Decoupled_Detect/h3 h3 id="2.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E7%BB%93%E5%90%88%E6%B6%A8%E7%82%B9Trick%E4%B9%8BASFF%EF%BC%88%E8%87%AA%E9%80%82%E5%BA%94%E7%A9%BA%E9%97%B4%E7%89%B9%E5%BE%81%E8%9E%8D%E5%90%88%EF%BC%89"2.目标检测算法——YOLOv5/YOLOv7改进结合涨点Trick之ASFF（自适应空间特征融合）/h3 h3🌴 持续更新中……/h3 h3 id="%F0%9F%9A%80%E4%BA%94%E3%80%81%E7%A9%BA%E9%97%B4%E9%87%91%E5%AD%97%E5%A1%94%E6%B1%A0%E5%8C%96%EF%BC%88%E6%8C%81%E7%BB%AD%E6%9B%B4%E6%96%B0%E4%B8%AD%EF%BC%89%F0%9F%8E%84%F0%9F%8E%88"🚀五、空间金字塔池化（持续更新中）🎄🎈/h3 h3 id="1.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88%E2%80%8BASPP%EF%BC%88%E7%A9%BA%E6%B4%9E%E7%A9%BA%E9%97%B4%E5%8D%B7%E7%A7%AF%E6%B1%A0%E5%8C%96%E9%87%91%E5%AD%97%E5%A1%94%EF%BC%89"1.目标检测算法——YOLOv5/YOLOv7改进之结合​ASPP（空洞空间卷积池化金字塔）/h3 h3 id="2.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88%E7%89%B9%E5%BE%81%E6%8F%90%E5%8F%96%E7%BD%91%E7%BB%9CRFBNet%EF%BC%88%E6%B6%A8%E7%82%B9%E6%98%8E%E6%98%BE%EF%BC%89"2.目标检测算法——YOLOv5/YOLOv7改进之结合特征提取网络RFBNet（涨点明显）/h3 h3🌴 持续更新中……/h3 h3 id="%F0%9F%9A%80%E5%85%AD%E3%80%81%E6%8D%9F%E5%A4%B1%E5%87%BD%E6%95%B0%E5%8F%8ANMS%E6%94%B9%E8%BF%9B%EF%BC%88%E6%8C%81%E7%BB%AD%E6%9B%B4%E6%96%B0%E4%B8%AD%EF%BC%89%F0%9F%8E%84%F0%9F%8E%88"🚀六、损失函数及NMS改进（持续更新中）🎄🎈/h3 h3 id="1.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%7C%E5%B0%86IOU%20Loss%E6%9B%BF%E6%8D%A2%E4%B8%BAEIOU%20Loss"1.目标检测算法——YOLOv5/YOLOv7改进|将IOU Loss替换为EIOU Loss/h3 h3 id="2.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94%E5%8A%A9%E5%8A%9B%E6%B6%A8%E7%82%B9%20%7C%20YOLOv5%E6%94%B9%E8%BF%9B%E7%BB%93%E5%90%88Alpha-IoU"2.目标检测算法——助力涨点 | YOLOv5改进结合Alpha-IoU/h3 h3 id="3.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88SIoU"3.目标检测算法——YOLOv5/YOLOv7改进之结合SIoU/h3 h3 id="4.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%E5%B0%86NMS%E6%9B%BF%E6%8D%A2%E4%B8%BADIoU-NMS"4.目标检测算法——YOLOv5将NMS替换为DIoU-NMS/h3 h3🌴 持续更新中……/h3 h3 id="%F0%9F%9A%80%E4%B8%83%E3%80%81%E5%85%B6%E4%BB%96%E5%88%9B%E6%96%B0%E6%94%B9%E8%BF%9B%E9%A1%B9%E7%9B%AE%EF%BC%88%E6%8C%81%E7%BB%AD%E6%9B%B4%E6%96%B0%E4%B8%AD%EF%BC%89%F0%9F%8E%84%F0%9F%8E%88"🚀七、其他创新改进项目（持续更新中）🎄🎈/h3 h3 id="1.%E6%89%8B%E6%8A%8A%E6%89%8B%E6%95%99%E4%BD%A0%E6%90%AD%E5%BB%BA%E5%B1%9E%E4%BA%8E%E8%87%AA%E5%B7%B1%E7%9A%84PyQt5-YOLOv5%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E5%B9%B3%E5%8F%B0%EF%BC%88%E4%BF%9D%E5%A7%86%E7%BA%A7%E6%95%99%E7%A8%8B%EF%BC%89"1.手把手教你搭建属于自己的PyQt5-YOLOv5目标检测平台（保姆级教程）/h3 h32.YOLO算法改进之结合GradCAM可视化热力图（附详细教程）/h3 h3 id="2.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88SPD-Conv%EF%BC%88%E4%BD%8E%E5%88%86%E8%BE%A8%E7%8E%87%E5%9B%BE%E5%83%8F%E5%92%8C%E5%B0%8F%E7%9B%AE%E6%A0%87%E6%B6%A8%E7%82%B9%E6%98%8E%E6%98%BE%EF%BC%89"3.目标检测算法——YOLOv5/YOLOv7改进之结合SPD-Conv（低分辨率图像和小目标涨点明显）/h3 h3 id="3.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E6%9B%B4%E6%8D%A2FReLU%E6%BF%80%E6%B4%BB%E5%87%BD%E6%95%B0"4.目标检测算法——YOLOv5/YOLOv7改进之更换FReLU激活函数/h3 h3 id="4.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E6%94%B9%E8%BF%9B%E4%B9%8B%E7%BB%93%E5%90%88BiFPN"5.目标检测算法——YOLOv5/YOLOv7改进之结合BiFPN/h3 h3🌴 持续更新中……/h3 h3 id="%F0%9F%9A%80%E5%85%AB%E3%80%81%E7%AE%97%E6%B3%95%E8%AE%AD%E7%BB%83%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE%EF%BC%88%E6%8C%81%E7%BB%AD%E6%9B%B4%E6%96%B0%E4%B8%AD%EF%BC%89%F0%9F%8E%84%F0%9F%8E%88"🚀八、算法训练相关项目（持续更新中）🎄🎈/h3 h3 id="1.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv7%E8%AE%AD%E7%BB%83%E8%87%AA%E5%B7%B1%E7%9A%84%E6%95%B0%E6%8D%AE%E9%9B%86%EF%BC%88%E4%BF%9D%E5%A7%86%E7%BA%A7%E6%95%99%E7%A8%8B%EF%BC%89"1.目标检测算法——YOLOv7训练自己的数据集（保姆级教程）/h3 h3 id="2.%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E5%89%8D%E6%B2%BF%E2%80%94%E2%80%94%E7%8E%A9%E8%BD%ACOpenAI%E8%81%8A%E5%A4%A9%E6%9C%BA%E5%99%A8%E4%BA%BAChatGPT%EF%BC%88%E4%B8%AD%E6%96%87%E7%89%88%EF%BC%89"2.人工智能前沿——玩转OpenAI语音机器人ChatGPT（中文版）/h3 h3 id="3.%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E4%B9%8B%E8%AF%AD%E4%B9%89%E5%88%86%E5%89%B2%E7%AE%97%E6%B3%95%EF%BC%88%E5%85%A5%E9%97%A8%E5%AD%A6%E4%B9%A0%EF%BC%89"3.深度学习之语义分割算法（入门学习）/h3 h3 id="4.%E7%9F%A5%E8%AF%86%E7%BB%8F%E9%AA%8C%E5%88%86%E4%BA%AB%E2%80%94%E2%80%94YOLOv5-6.0%E8%AE%AD%E7%BB%83%E5%87%BA%E9%94%99%E5%8F%8A%E8%A7%A3%E5%86%B3%E6%96%B9%E6%B3%95%EF%BC%88RuntimeError%EF%BC%89"4.知识经验分享——YOLOv5-6.0训练出错及解决方法（RuntimeError）/h3 h3 id="5.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94%E5%B0%86xml%E6%A0%BC%E5%BC%8F%E8%BD%AC%E6%8D%A2%E4%B8%BAYOLOv5%E6%A0%BC%E5%BC%8Ftxt"5.目标检测算法——将xml格式转换为YOLOv5格式txt/h3 h3 id="6.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94YOLOv5%2FYOLOv7%E5%A6%82%E4%BD%95%E6%94%B9%E5%8F%98bbox%E6%A3%80%E6%B5%8B%E6%A1%86%E7%9A%84%E7%B2%97%E7%BB%86%E5%A4%A7%E5%B0%8F"6.目标检测算法——YOLOv5/YOLOv7如何改变bbox检测框的粗细大小/h3 h37.人工智能前沿——6款AI绘画生成工具/h3 h3 id="7.YOLOv5%E7%BB%93%E5%90%88%E4%BA%BA%E4%BD%93%E5%A7%BF%E6%80%81%E4%BC%B0%E8%AE%A1"8.YOLOv5结合人体姿态估计/h3 h3 id="8.%E8%B6%85%E8%B6%8AYOLOv5%EF%BC%8C0.7M%E8%B6%85%E8%BD%BB%E9%87%8F%EF%BC%8C%E5%8F%88%E5%A5%BD%E5%8F%88%E5%BF%AB%EF%BC%88PP-YOLOE%26PP-PicoDet%EF%BC%89"9.超越YOLOv5，0.7M超轻量，又好又快（PP-YOLOE&PP-PicoDet）/h3 h3 id="9.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94%E6%94%B6%E8%97%8F%7C%E5%B0%8F%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%9A%84%E5%AE%9A%E4%B9%89%EF%BC%88%E4%B8%80%EF%BC%89"10.目标检测算法——收藏|小目标检测的定义（一）/h3 h3 id="10.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94%E6%94%B6%E8%97%8F%7C%E5%B0%8F%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E9%9A%BE%E7%82%B9%E5%88%86%E6%9E%90%EF%BC%88%E4%BA%8C%EF%BC%89"11.目标检测算法——收藏|小目标检测难点分析（二）/h3 h3 id="11.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94%E6%94%B6%E8%97%8F%7C%E5%B0%8F%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88%EF%BC%88%E4%B8%89%EF%BC%89"12.目标检测算法——收藏|小目标检测解决方案（三）/h3 h3🌴 持续更新中……/h3 h3 id="%F0%9F%9A%80%E4%B9%9D%E3%80%81%E6%95%B0%E6%8D%AE%E8%B5%84%E6%BA%90%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE%EF%BC%88%E6%8C%81%E7%BB%AD%E6%9B%B4%E6%96%B0%E4%B8%AD%EF%BC%89%F0%9F%8E%84%F0%9F%8E%88"🚀九、数据资源相关项目（持续更新中）🎄🎈/h3 h31.目标检测算法——小目标检测相关数据集（附下载链接）/h3 h32.目标检测算法——3D公共数据集汇总（附下载链接）/h3 h33.目标检测算法——3D公共数据集汇总 2（附下载链接）/h3 h34.目标检测算法——行人检测&人群计数数据集汇总(附下载链接)/h3 h35.目标检测算法——遥感影像数据集资源汇总（附下载链接）/h3 h36.目标检测算法——自动驾驶开源数据集汇总（附下载链接）/h3 h37.目标检测算法——自动驾驶开源数据集汇总 2（附下载链接）/h3 h38.目标检测算法——图像分类开源数据集汇总（附下载链接）/h3 h39.目标检测算法——医学图像开源数据集汇总（附下载链接）/h3 h310.目标检测算法——工业缺陷数据集汇总1（附下载链接）/h3 h311.目标检测算法——工业缺陷数据集汇总2（附下载链接）/h3 h312.目标检测算法——垃圾分类数据集汇总（附下载链接）/h3 h313.目标检测算法——人脸识别数据集汇总（附下载链接）/h3 h314.目标检测算法——安全帽识别数据集（附下载链接）/h3 h315.目标检测算法——人体姿态估计数据集汇总（附下载链接）/h3 h316.目标检测算法——人体姿态估计数据集汇总 2（附下载链接）/h3 h317.目标检测算法——车辆牌照识别数据集汇总（附下载链接）/h3 h318.目标检测算法——车辆牌照识别数据集汇总 2（附下载链接）/h3 h319.收藏 | 机器学习公共数据集集锦（附下载链接）/h3 h320.目标检测算法——图像分割数据集汇总（附下载链接）/h3 h321.目标检测算法——图像分割数据集汇总 2（附下载链接）/h3 h322.收藏 | 自然语言处理（NLP）数据集汇总（附下载链接）/h3 h323.自然语言处理（NLP）数据集汇总 2（附下载链接）/h3 h324.自然语言处理（NLP）数据集汇总 3（附下载链接）/h3 h325.自然语言处理（NLP）数据集汇总 4（附下载链接）/h3 h3🌴 持续更新中……/h3 h3 id="%F0%9F%9A%80%E4%B9%9D%E3%80%81%E8%AE%BA%E6%96%87%E6%8A%95%E7%A8%BF%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE%EF%BC%88%E6%8C%81%E7%BB%AD%E6%9B%B4%E6%96%B0%E4%B8%AD%EF%BC%89%F0%9F%8E%84%F0%9F%8E%88"🚀十、论文投稿相关项目（持续更新中）🎄🎈/h3 h3 id="1.%E8%AE%BA%E6%96%87%E6%8A%95%E7%A8%BF%E6%8C%87%E5%8D%97%E2%80%94%E2%80%94%E6%94%B6%E8%97%8F%7CSCI%E8%AE%BA%E6%96%87%E6%8A%95%E7%A8%BF%E6%B3%A8%E6%84%8F%E4%BA%8B%E9%A1%B9%EF%BC%88%E6%8F%90%E9%AB%98%E5%91%BD%E4%B8%AD%E7%8E%87%EF%BC%89"1.论文投稿指南——收藏|SCI论文投稿注意事项（提高命中率）/h3 h3 id="2.%E8%AE%BA%E6%96%87%E6%8A%95%E7%A8%BF%E6%8C%87%E5%8D%97%E2%80%94%E2%80%94%E6%94%B6%E8%97%8F%7CSCI%E8%AE%BA%E6%96%87%E6%80%8E%E4%B9%88%E6%8A%95%EF%BC%9F%EF%BC%88Accepted%EF%BC%89"2.论文投稿指南——收藏|SCI论文怎么投？（Accepted）/h3 h3 id="3.%E8%AE%BA%E6%96%87%E6%8A%95%E7%A8%BF%E6%8C%87%E5%8D%97%E2%80%94%E2%80%94%E6%94%B6%E8%97%8F%7CSCI%E5%86%99%E4%BD%9C%E6%8A%95%E7%A8%BF%E5%8F%91%E8%A1%A8%E5%85%A8%E6%B5%81%E7%A8%8B"3.论文投稿指南——收藏|SCI写作投稿发表全流程/h3 h3 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id="13.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%94%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E7%9F%A5%E8%AF%86%E7%AE%80%E8%A6%81%E6%99%AE%E5%8F%8A"13.目标检测算法——深度学习知识简要普及/h3 h3 id="14.%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%E2%80%94%E2%80%9410%E7%A7%8D%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E6%A1%86%E6%9E%B6%E4%BB%8B%E7%BB%8D"14.目标检测算法——10种深度学习框架介绍/h3 h315.目标检测算法——为什么我选择PyTorch？/h3 h3 id="13.%E7%9F%A5%E8%AF%86%E7%BB%8F%E9%AA%8C%E5%88%86%E4%BA%AB%E2%80%94%E2%80%94%E8%B6%85%E5%85%A8%E6%BF%80%E6%B4%BB%E5%87%BD%E6%95%B0%E8%A7%A3%E6%9E%90%EF%BC%88%E6%95%B0%E5%AD%A6%E5%8E%9F%E7%90%86%2B%E4%BC%98%E7%BC%BA%E7%82%B9%EF%BC%89"16.知识经验分享——超全激活函数解析（数学原理+优缺点）/h3 h3 id="14.%E7%9F%A5%E8%AF%86%E7%BB%8F%E9%AA%8C%E5%88%86%E4%BA%AB%E2%80%94%E2%80%94%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%EF%BC%88CNN%EF%BC%89"17.知识经验分享——卷积神经网络（CNN）/h3 h3 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id="10.%E8%AE%BA%E6%96%87%E6%8A%95%E7%A8%BF%E6%8C%87%E5%8D%97%E2%80%94%E2%80%94%E8%AE%A1%E7%AE%97%E6%9C%BA%E9%A2%86%E5%9F%9F%E6%A0%B8%E5%BF%83%E6%9C%9F%E5%88%8A"22.论文投稿指南——计算机领域核心期刊/h3 h3 id="11.%E8%AE%BA%E6%96%87%E6%8A%95%E7%A8%BF%E6%8C%87%E5%8D%97%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E6%A0%B8%E5%BF%83%E6%9C%9F%E5%88%8A%E6%8E%A8%E8%8D%90%EF%BC%88%E8%AE%A1%E7%AE%97%E6%9C%BA%E6%8A%80%E6%9C%AF%EF%BC%89"23.论文投稿指南——中文核心期刊推荐（计算机技术）/h3 h3 id="12.%E8%AE%BA%E6%96%87%E6%8A%95%E7%A8%BF%E6%8C%87%E5%8D%97%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E6%A0%B8%E5%BF%83%E6%9C%9F%E5%88%8A%E6%8E%A8%E8%8D%90%EF%BC%88%E8%AE%A1%E7%AE%97%E6%9C%BA%E6%8A%80%E6%9C%AF2%EF%BC%89"24.论文投稿指南——中文核心期刊推荐（计算机技术2）/h3 h3 id="13.%E8%AE%BA%E6%96%87%E6%8A%95%E7%A8%BF%E6%8C%87%E5%8D%97%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E6%A0%B8%E5%BF%83%E6%9C%9F%E5%88%8A%E6%8E%A8%E8%8D%90%EF%BC%88%E8%AE%A1%E7%AE%97%E6%9C%BA%E6%8A%80%E6%9C%AF3%EF%BC%89"25.论文投稿指南——中文核心期刊推荐（计算机技术3）/h3 h3 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id="24.%E8%AE%BA%E6%96%87%E6%8A%95%E7%A8%BF%E6%8C%87%E5%8D%97%E2%80%94%E2%80%94%E4%B8%AD%E5%9B%BD%EF%BC%88%E4%B8%AD%E6%96%87EI%EF%BC%89%E6%9C%9F%E5%88%8A%E6%8E%A8%E8%8D%90%EF%BC%88%E7%AC%AC5%E6%9C%9F%EF%BC%89"36.论文投稿指南——中国（中文EI）期刊推荐（第5期）/h3 h3 id="25.%E8%AE%BA%E6%96%87%E6%8A%95%E7%A8%BF%E6%8C%87%E5%8D%97%E2%80%94%E2%80%94%E4%B8%AD%E5%9B%BD%EF%BC%88%E4%B8%AD%E6%96%87EI%EF%BC%89%E6%9C%9F%E5%88%8A%E6%8E%A8%E8%8D%90%EF%BC%88%E7%AC%AC6%E6%9C%9F%EF%BC%89"37.论文投稿指南——中国（中文EI）期刊推荐（第6期）/h3 h3 id="26.%E8%AE%BA%E6%96%87%E6%8A%95%E7%A8%BF%E6%8C%87%E5%8D%97%E2%80%94%E2%80%94%E4%B8%AD%E5%9B%BD%EF%BC%88%E4%B8%AD%E6%96%87EI%EF%BC%89%E6%9C%9F%E5%88%8A%E6%8E%A8%E8%8D%90%EF%BC%88%E7%AC%AC7%E6%9C%9F%EF%BC%89"38.论文投稿指南——中国（中文EI）期刊推荐（第7期）/h3 h3 id="27.%E8%AE%BA%E6%96%87%E6%8A%95%E7%A8%BF%E6%8C%87%E5%8D%97%E2%80%94%E2%80%94%E4%B8%AD%E5%9B%BD%EF%BC%88%E4%B8%AD%E6%96%87EI%EF%BC%89%E6%9C%9F%E5%88%8A%E6%8E%A8%E8%8D%90%EF%BC%88%E7%AC%AC8%E6%9C%9F%EF%BC%89"39.论文投稿指南——中国（中文EI）期刊推荐（第8期）/h3 h340.【1】SCI易中期刊推荐——计算机方向（中科院3区）/h3 h341.【2】SCI易中期刊推荐——遥感图像领域（中科院2区）/h3 h342.【3】SCI易中期刊推荐——人工智能领域（中科院1区）/h3 h343.【4】SCI易中期刊推荐——神经科学研究（中科院4区）/h3 h344.【5】SCI易中期刊推荐——计算机科学（中科院2区）/h3 h345.【6】SCI易中期刊推荐——人工智能&神经科学&机器人学（中科院3区）/h3 h346.【7】SCI易中期刊推荐——计算机 | 人工智能（中科院4区）/h3 h347.【8】SCI易中期刊推荐——图像处理领域（中科院4区）/h3 h348.【9】SCI易中期刊推荐——工程技术-计算机：软件工程（中科院4区）/h3 h349.【10】SCI易中期刊推荐——工程技术-计算机：人工智能（中科院2区）/h3 h350.【11】SCI易中期刊推荐——计算机方向（中科院4区）/h3 h351.【12】SCI易中期刊推荐——计算机信息系统（中科院4区）/h3 h3🌴 持续更新中……/h3 h3 id="%C2%A0%E5%85%B3%E4%BA%8E%E8%AE%BA%E6%96%87%E5%8F%91%E8%A1%A8%E5%8F%8A%E9%80%89%E5%88%8A%E7%AD%89%E6%96%B9%E6%B3%95%E5%8F%AF%E5%85%B3%E6%B3%A8%E5%B9%B6%E7%A7%81%E4%BF%A1%E5%8D%9A%E4%B8%BB%E7%9A%84CSDN" 关于YOLO算法改进&论文投稿可关注并留言博主的CSDN/QQ/h3 h3 /h3 h3 id="%3E%3E%3E%3E%3E%3E%E4%B8%80%E8%B5%B7%E4%BA%A4%E6%B5%81%EF%BC%81%E4%B8%80%E8%B5%B7%E5%AD%A6%E4%B9%A0%EF%BC%81%E5%85%B1%E5%90%8C%E8%BF%9B%E6%AD%A5%EF%BC%81%3C%3C%3C%3C%3C%3C" /h3 h3 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