UCF-101, HMDB-51

Dataset Overview

Dataset Names

• UCF‑101
• HMDB‑51

Dataset Download

• UCF‑101: Download link
• HMDB‑51: Download link

Dataset Structure

UCF‑101

UCF‑101
├── ApplyEyeMakeup
│   ├── v_ApplyEyeMakeup_g01_c01.avi
│   └── ...
├── ApplyLipstick
│   ├── v_ApplyLipstick_g01_c01.avi
│   └── ...
├── Archery
│   ├── v_Archery_g01_c01.avi
│   └── ...

HMDB‑51

HMDB51
├── brush_hair
│   ├── April_09_brush_hair_u_nm_np1_ba_goo_0.avi
│   └── ...
├── cartwheel
│   ├── (Rad)Schlag_die_Bank!_cartwheel_f_cm_np1_le_med_0.avi
│   └── ...
├── catch
│   ├── 96-_Torwarttraining_1_catch_f_cm_np1_le_bad_0.avi
│   └── ...

Pre‑processing Steps

UCF‑101

1. Convert video files to JPG frames using utils/video2jpg_ucf101_hmdb51.py.
2. Generate frame‑count files with utils/n_frames_ucf101_hmdb51.py.

HMDB‑51

1. Convert video files to JPG frames using utils/video2jpg_ucf101_hmdb51.py.
2. Generate frame‑count files with utils/n_frames_ucf101_hmdb51.py.
3. Generate annotation files using utils/hmdb_gen_txt.py.

Post‑processing Data Structure

UCF‑101

UCF101_n_frames
├── ApplyEyeMakeup
│   ├── v_ApplyEyeMakeup_g01_c01
│   │   ├── image_00001.jpg
│   │   └── ...
│   │   └── n_frames
│   └── ...
├── ApplyLipstick
│   └── ...
└── ...

HMDB‑51

hmdb51_n_frames
├── brush_hair
│   ├── April_09_brush_hair_u_nm_np1_ba_goo_0
│   │   ├── image_00001.jpg
│   │   └── ...
│   │   └── n_frames
│   └── ...
├── cartwheel
│   └── ...
└── ...

Data Loading

PyTorch loading examples are provided using the HMDBDataset class.

Citation

Dataset processing code is adapted from 3D‑ResNets‑PyTorch.