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Minor documentation fixes (#91)

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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 any of 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 structure:
All the datasets have the following structure:
```
Caltech
|——————images
@ -15,10 +15,10 @@ Caltech
|—————— ...
└——————0000N.txt
```
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`.
Every image has a corresponding annotation text. Given an image path,
the annotation text path can be 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,
In the annotation text, each line is describing a bounding box and has the following format:
```
[class] [identity] [x_center] [y_center] [width] [height]
```
@ -26,7 +26,7 @@ The field `[class]` should be `0`. Only single-class multi-object tracking is su
The field `[identity]` is an integer from `0` to `num_identities - 1`, or `-1` if this box has no identity annotation.
***Note** that the values of `[x_center] [y_center] [width] [height]` are normalized by the width/height of the image, so they are float numbers ranging from 0 to 1.
***Note** that the values of `[x_center] [y_center] [width] [height]` are normalized by the width/height of the image, so they are floating point numbers ranging from 0 to 1.
## Download
@ -41,8 +41,8 @@ Baidu NetDisk:
[[6]](https://pan.baidu.com/s/1sDjhtgdFrzR60KKxSjNb2A)
[[7]](https://pan.baidu.com/s/18Zvp_d33qj1pmutFDUbJyw)
Google Drive: [[annotation]](https://drive.google.com/file/d/1h8vxl_6tgi9QVYoer9XcY9YwNB32TE5k/view?usp=sharing) ,
please download all the `.tar` file from [this page](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/datasets/USA/) and unzip the images under `Caltech/images`
Google Drive: [[annotations]](https://drive.google.com/file/d/1h8vxl_6tgi9QVYoer9XcY9YwNB32TE5k/view?usp=sharing) ,
please download all the images `.tar` files from [this page](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/datasets/USA/) and unzip the images under `Caltech/images`
Original dataset webpage: [CaltechPedestrians](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/)
### CityPersons