DATASET
Open Source Community
Office-31, Office-Home, VisDA-2017, DomainNet
Office‑31 consists of 31 office‑object categories, Office‑Home contains 65 everyday‑object categories, VisDA‑2017 is a dataset for visual domain adaptation challenges, and DomainNet is a large‑scale multi‑domain image dataset.
Updated 12/6/2024
github
Description
Dataset Overview
Datasets
-
Office‑31:
- Download link: Office‑31
- Storage path:
data/office/domain_adaptation_images/
-
Office‑Home:
- Download link: Office‑Home
- Storage path:
data/office-home/
-
VisDA‑2017:
- Download link: VisDA‑2017
- Storage path:
data/
-
DomainNet:
- Download link: DomainNet
- Storage path:
data/
Training
- Training Command:
- Example:
python3 main.py --train_batch_size 16 --dataset office --name wa \ --source_list data/office/webcam_list.txt --target_list data/office/amazon_list.txt \ --test_list data/office/amazon_list.txt --num_classes 31 --model_type ViT-B_16 \ --pretrained_dir checkpoint/ViT-B_16.npz --num_steps 5000 --img_size 256 \ --beta 0.1 --gamma 0.2 --use_im --theta 0.1 - All commands are listed in
script.txt.
- Example:
Pre‑trained Models
- ViT‑B_16:
- ImageNet‑21K: ViT‑B_16 (ImageNet‑21K)
- ImageNet: ViT‑B_16 (ImageNet)
- Storage path:
checkpoint/
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Topics
Image Dataset
Domain Adaptation
Source
Organization: github
Created: 11/11/2024
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