SOURCE_PATH ="/dataset/ImageNet-1k" TARGET_SIZE =f"/dataset/ImageNet-{SUBSET_SIZE}_seed{seed}" # Data loading code train_dataset = datasets.ImageNet(SOURCE_PATH, split="train") classes = train_dataset.wnids # Randomly select a subset of classes np.random.seed(seed) subset_classes = n...
因为训练集128万多，所以常见的训练setting有256 batch size，5000 iters/epoch，这样一个epoch差不多可...
首先,我修改了您的batch_size的赋值语句,因为它会报错;同时,我还使用了推荐的torchrun,应该之前的已经推荐废弃了。我的训练脚本如下: #!/bin/bash DATA_PATH=/ai/dataset/imagenet ALL_BATCH_SIZE=1024 NUM_GPU=2 GRAD_ACCUM_STEPS=4 # Adjust according to your GPU numbers and memory size. ...
在一些论文中,有的人会将这个数据叫成ImageNet 1K 或者ISLVRC2012,两者是一样的。“1 K”代表的是1000个类别。用这个数据测试模型结构是很方便的。有几点原因:1.很多的论文都使用了此数据集,跟其他模型比较时,可以直接引用结果;2. ImageNet的评价指标是固定的,大家都使用top1 、top5等;3. 可以直接看出你修...
We evaluate our method on the ImageNet 2012 classification dataset that consists of 1000 classes. The models are trained on the 1.28 million training images, and evaluated on the 50k validation images. We also obtain a final result on the 100k test images, reported by the test server. ...
ds_train = ds["train"].to_tf_dataset(batch_size=BATCH_SIZE)这将返回每个示例{"image": tf....
FasterViT was trained on the ImageNet1K dataset with 1000 object categories. Hence, the model might not perform well on different data distributions. We recommend conducting further fine-tuning on the target domain to get higher accuracy rates. Model Versions fastervit_0_224_1k - ImageNet1K ...
DOTA 全称为 A Large-scale Dataset for Object DeTection in Aerial Images，是一个包含 2,806 张...
.gitignore huggingface_dataset_downloads.ipynb Breadcrumbs imagenet1k_download / huggingface_dataset_downloads.ipynb Latest commit roisin init b9a46c2· May 28, 2023 HistoryHistory File metadata and controls Preview Code Blame 646 lines (646 loc) · 1.35 MB Raw Loading Viewer requires iframe....
Dataset 作者使用了电力传输与配电基础设施图像(ETDII)数据集进行实验,这是一个来自杜克大学的公开数据集。该数据集的来源包括CT ECO、USGS、LINZ和SpaceNet等不同提供者。它由494个图像块组成,来自六个国家,分别是美国、苏丹、新西兰、墨西...