YOLOV5火灾火焰烟雾检测数据集+训练好的模型+标注好的数据+pyqt界面+代码.zip

### Datasets: 59.26TB of research data: http://academictorrents.com/ ImageNet Torrent: http://academictorrents.com/browse.php?search=imagenet&page=0 25 thousand datasets on Kaggle: https://www.kaggle.com/datasets BDD100K - Diverse Driving Video: https://bair.berkeley.edu/blog/2018/05/30/bdd/ Pascal VOC: http://host.robots.ox.ac.uk/pascal/VOC/voc2012/index.html MS COCO: http://cocodataset.org/#download ImageNet: http://imagenet.stanford.edu/download.php ImageNet (ILSVRC2012): http://www.image-net.org/challenges/LSVRC/2012/nonpub-downloads ImageNet (ILSVRC2015): http://image-net.org/small/download.php ImageNet VID: http://bvisionweb1.cs.unc.edu/ilsvrc2015/download-videos-3j16.php Open Images: https://storage.googleapis.com/openimages/web/download.html Cityscapes: https://www.cityscapes-dataset.com/ Object Tracking Benchmark: http://cvlab.hanyang.ac.kr/tracker_benchmark/datasets.html MOT (Multiple object tracking benchmark): https://motchallenge.net/ VOT (Visual object tracking): http://www.votchallenge.net/challenges.html FREE FLIR Thermal Dataset (infrared): https://www.flir.eu/oem/adas/adas-dataset-form/ MARS: http://www.liangzheng.com.cn/Project/project_mars.html Market-1501: http://www.liangzheng.org/Project/project_reid.html German Traffic Sign Recognition Benchmark: http://benchmark.ini.rub.de/ Labeled Faces in the Wild: http://vis-www.cs.umass.edu/lfw/ Core50: https://vlomonaco.github.io/core50/ Visual Question Answering: https://visualqa.org/download.html Large Movie Review Dataset: http://ai.stanford.edu/~amaas/data/sentiment/ KITTI (for autonomous driving): http://www.cvlibs.net/datasets/kitti/ nuScenes (for autonomous driving): https://www.nuscenes.org/overview ---- Wikipedia's List of datasets: https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research Other datasets (Music, Natural Images, Artificial Datasets, Faces, Text, Speech, Recommendation Systems, Misc): http://deeplearning.net/datasets/ 25 datasets: https://www.analyticsvidhya.com/blog/2018/03/comprehensive-collection-deep-learning-datasets/ List of datasets: https://riemenschneider.hayko.at/vision/dataset/index.php Another list of datasets: http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm Pedestrian DATASETs for Vision based Detection and Tracking: https://hemprasad.wordpress.com/2014/11/08/pedestrian-datasets-for-vision-based-detection-and-tracking/ TrackingNet: https://tracking-net.org/ RGB, RGBD, Texture-mapped 3D mesh models: http://www.ycbbenchmarks.com/