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DATASET_ZOO.md
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# Dataset Zoo
We provide several relevant datasets for training and evaluating the Joint Detection and Embedding (JDE) model.
Annotations are provided in a unified format. If you want to use these datasets, please **follow their licenses**,
and if you use these datasets in your research, please cite the original work (you can find the bibtex in the bottom).
and if you use these datasets in your research, please cite the original work (you can find the BibTeX in the bottom).
## Data Format
All the dataset has the following structrue:
All the dataset has the following structure:
```
Caltech
|——————images
@ -15,14 +15,14 @@ Caltech
|—————— ...
└——————0000N.txt
```
Every image corresponds to an annation text. Given an image path,
Every image corresponds to an annotation text. Given an image path,
the annotation text path can be easily generated by replacing the string `images` with `labels_with_ids` and replacing `.jpg` with `.txt`.
In the annotation text, each line is a bounding box and has the following format,
```
[class] [identity] [x_center] [y_center] [width] [height]
```
The field `[class]` is not used in this project since we only care about a single class, i.e., pedestrian here.
The field `[class]` should be `0`. Only single-class multi-object tracking is supported in this version.
The field `[identity]` is an integer from `0` to `num_identities - 1`, or `-1` if this box has no identity annotation.