猫狗大战. Contribute to ypwhs/dogs_vs_cats development by creating an account on GitHub.
Convert https://pjreddie.com/darknet/yolo/ into pytorch - marvis/pytorch-yolo2 Catalyser is an app that detects the mood of your cat with the camera of your phone. - perjor/catalyser Source code for Robust Face Detection via Learning Small Faces on Hard Images - bairdzhang/smallhardface Retrain a MobileNet V1 or V2 model and use it in the browser with TensorFlow.js - woudsma/retrain-mobilenet-for-the-web Image Retrieval in Digital Libraries - A Multicollection Experimentation of Machine Learning techniques - altomator/Image_Retrieval In addition, forcing a "larger" image size at say 260px will actually make it smaller for those with a larger size set as preference.
27 Feb 2019 This massive image dataset contains over 30 million images and 15 million bounding boxes… We need to download the relevant data before we can do anything with it. football , toy , bird , cat , vase , hair dryer , kangaroo , knife , briefcase , pencil case , tennis ball , nail , high some_other_image.jpg 13 Jan 2019 But I decided to get a head start anyways and downloaded the course Fast.ai, has us do is train a neural network to recognize different breeds of cats and dogs. Note that I've moved the dataset to a directory other than the default location data/oxford-iiit-pet/images/Abyssinian_1.jpg'), WindowsPath('. 13 Dec 2017 Cats dataset that you'll use isn't packaged with Keras. After downloading and uncompressing it, you'll create a new dataset containing three subsets: a 1:1000, ".jpg") file.copy(file.path(original_dataset_dir, fnames), The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 airplane. automobile. bird. cat. deer. dog. frog. horse. ship. truck Download. If you're going to use this dataset, please cite the tech report at the bottom To follow the rest of this post you need to download the train part of the Dogs vs. We also divide the data set into three train (%60), validation (%20), and test parts cat_dog_train_path = 'Cat vs Dog/train/*.jpg'; # read addresses and labels Many humans can recognize a cat fairly easily, but can we train computers to do so? Qat.jpg. ) img = tensorflow.image.decode_jpeg(img, channels=3) Keras can automatically download the dataset, but we'll save time by downloading it
The filename can be up to 256 characters long, including the ".jpg" extension. You are encouraged to use the shortest filename possible. Do not download any new images, use only what is in cache. Useful only with cache enabled. (optional, defaults to false) Sonar tracking of tungsten ball underneath research vessel for calibration (16824332958).jpg Faster R-CNN from scratch written with Keras. Contribute to shanchenqi/frcnn-from-scratch-with-keras development by creating an account on GitHub. Using two stream architecture to implement a classic action recognition method on UCF101 dataset - jeffreyyihuang/two-stream-action-recognition Cifar 10 image dataset. Contribute to EN10/Cifar development by creating an account on GitHub. Their activity patterns range from nocturnal and crepuscular to diurnal, depending on their preferred prey species.
Dfg-cat-webpage.jpg. Dataset consists of 200 traffic sign categories captured in Slovenian roads spanning in around 7000 high-resolution images. Images were
Official Barcelona Metro Map for download (PDF). Maps of the metro system and of each line, with up-to-date information on stations and transport links. Convert https://pjreddie.com/darknet/yolo/ into pytorch - marvis/pytorch-yolo2 Catalyser is an app that detects the mood of your cat with the camera of your phone. - perjor/catalyser Source code for Robust Face Detection via Learning Small Faces on Hard Images - bairdzhang/smallhardface Retrain a MobileNet V1 or V2 model and use it in the browser with TensorFlow.js - woudsma/retrain-mobilenet-for-the-web Image Retrieval in Digital Libraries - A Multicollection Experimentation of Machine Learning techniques - altomator/Image_Retrieval In addition, forcing a "larger" image size at say 260px will actually make it smaller for those with a larger size set as preference.
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