### 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/
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fire-smoke-detect-yolov4-yolov5 和 fire-smoke-detection-dataset 火灾检测,烟雾检测.zip (335个子文件)
gemm.c 103KB
parser.c 84KB
data.c 73KB
detector.c 72KB
convolutional_layer.c 59KB
conv_lstm_layer.c 53KB
image.c 47KB
network.c 45KB
classifier.c 44KB
yolo_layer.c 39KB
gaussian_yolo_layer.c 36KB
box.c 29KB
go.c 26KB
lstm_layer.c 25KB
utils.c 22KB
region_layer.c 22KB
blas.c 22KB
darknet.c 19KB
dark_cuda.c 16KB
batchnorm_layer.c 16KB
gru_layer.c 15KB
coco.c 14KB
connected_layer.c 14KB
maxpool_layer.c 14KB
rnn.c 14KB
crnn_layer.c 14KB
demo.c 14KB
getopt.c 13KB
layer.c 12KB
shortcut_layer.c 12KB
yolo.c 12KB
detection_layer.c 12KB
activations.c 11KB
captcha.c 11KB
compare.c 11KB
softmax_layer.c 10KB
rnn_layer.c 10KB
nightmare.c 9KB
kmeansiou.c 9KB
local_layer.c 9KB
cifar.c 8KB
matrix.c 8KB
rnn_vid.c 7KB
deconvolutional_layer.c 6KB
normalization_layer.c 6KB
route_layer.c 5KB
scale_channels_layer.c 5KB
voxel.c 5KB
tag.c 4KB
writing.c 4KB
cost_layer.c 4KB
im2col.c 4KB
super.c 4KB
tree.c 4KB
dice.c 4KB
col2im.c 4KB
sam_layer.c 3KB
option_list.c 3KB
upsample_layer.c 3KB
reorg_layer.c 3KB
reorg_old_layer.c 3KB
dropout_layer.c 3KB
crop_layer.c 3KB
swag.c 2KB
cpu_gemm.c 2KB
avgpool_layer.c 2KB
list.c 2KB
activation_layer.c 2KB
art.c 2KB
gettimeofday.c 1KB
yolov4-fire.cfg 12KB
FindPThreads_windows.cmake 4KB
FindCUDNN.cmake 3KB
FindStb.cmake 701B
win_get_imagenet_valid.cmd 1KB
win_get_imagenet_train_48hours.cmd 725B
win_get_otb_datasets.cmd 559B
win_cifar.cmd 435B
win_install_cygwin.cmd 268B
run_log_parser_windows.cmd 187B
image_opencv.cpp 51KB
yolo_console_dll.cpp 29KB
http_stream.cpp 24KB
yolo_v2_class.cpp 12KB
blas_kernels.cu 85KB
im2col_kernels.cu 84KB
convolutional_kernels.cu 59KB
network_kernels.cu 25KB
activation_kernels.cu 24KB
maxpool_layer_kernels.cu 11KB
dropout_layer_kernels.cu 11KB
crop_layer_kernels.cu 7KB
col2im_kernels.cu 6KB
deconvolutional_kernels.cu 4KB
avgpool_layer_kernels.cu 2KB
darknet 6.3MB
fire.data 243B
vcpkg_windows_cuda.diff 67B
vcpkg_linux_cuda.diff 65B
vcpkg_windows.diff 56B
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