Dear ptrblck,
Thank you so much for your response!
So far I annotated my pictures using CVAT and also got a csv-file with those annotations.
The tutorial is giving me this code, where I poorly tried to modify the input to be my dataset:
transform = transforms.Compose(
    [transforms.ToTensor(),
     transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])

batch_size = 4

trainset = torchvision.datasets.CIFAR10(root='./data', train=True,
                                        download=True, transform=transform)
trainloader = torch.utils.data.DataLoader(trainset, batch_size=batch_size,
                                          shuffle=True, num_workers=2)

testset = torchvision.datasets.CIFAR10(root='./data', train=False,
                                       download=True, transform=transform)
testloader = torch.utils.data.DataLoader(testset, batch_size=batch_size,
                                         shuffle=False, num_workers=2)

classes = ('plane', 'car', 'bird', 'cat',
           'deer', 'dog', 'frog', 'horse', 'ship', 'truck')

I tried to replace the “tochvision.datasets.CIFAR10(root='./data', train=True, download=True, transform=transform)” part with the root to my dataset and changed my classes to the two relevant for me: “cow”, “no_cow”