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Dataset Preparation

This page provides the instructions for dataset preparation on existing benchmarks, include

1. Download Datasets

Please download the datasets from the offical websites. It is recommended to symlink the root of the datasets to $MMTRACKING/data. If your folder structure is different from the following, you may need to change the corresponding paths in config files.

Notes:

  • The Lists under ILSVRC contains the txt files from here.

  • For the training and testing of video object detection task, only ILSVRC dataset is needed.

  • For the training and testing of multi object tracking task, only MOT17 dataset is needed.

  • For the training and testing of single object tracking task, the MSCOCO, ILSVRC and LaSOT datasets are needed.

mmtracking
├── mmtrack
├── tools
├── configs
├── data
│   ├── coco
│   │   ├── train2017
│   │   ├── val2017
│   │   ├── test2017
│   │   ├── annotations
│   ├── ILSVRC
│   │   ├── Data
│   │   │   ├── DET
|   │   │   │   ├── train
|   │   │   │   ├── val
|   │   │   │   ├── test
│   │   │   ├── VID
|   │   │   │   ├── train
|   │   │   │   ├── val
|   │   │   │   ├── test
│   │   ├── Annotations (the offical annotation files)
│   │   │   ├── DET
|   │   │   │   ├── train
|   │   │   │   ├── val
│   │   │   ├── VID
|   │   │   │   ├── train
|   │   │   │   ├── val
│   │   ├── Lists
│   │   ├── annotations (the converted annotation files)
│   ├── lasot
│   │   ├── LaSOTTesting
│   │   ├── annotations
|   ├── MOT17
|   |   ├── train
|   |   ├── test
|   |   ├── annotations
|   |   ├── reid

2. Convert Annotations

We use CocoVID to maintain all datasets in this codebase. In this case, you need to convert the offical annotations to this style. We provide scripts and the usages as follow

# ImageNet DET
python ./tools/convert_datasets/imagenet2coco_det.py -i ./data/ILSVRC -o ./data/ILSVRC/annotations

# ImageNet VID
python ./tools/convert_datasets/imagenet2coco_vid.py -i ./data/ILSVRC -o ./data/ILSVRC/annotations

# LaSOT
python ./tools/convert_datasets/lasot2coco.py -i ./data/lasot/LaSOTTesting -o ./data/lasot/annotations

# MOT17
python ./tools/convert_datasets/mot2coco.py -i ./data/MOT17/ -o ./data/MOT17/annotations --split-train --convert-det
python ./tools/convert_datasets/mot2reid.py -i ./data/MOT17/ -o ./data/MOT17/reid --val-split 0.2 --vis-threshold 0.3