Hugging Face's logo

Datasets:
SKKUAutoLab
/
TSBOW

Modalities:
Image
Formats:
imagefolder
Size:
< 1K
ArXiv:
Libraries:
Datasets
Dataset card Data Studio Files
xet
Community
1
ngochdm commited on
Commit
1a96686
·
1 Parent(s): 736560b

update README

Browse files
Files changed (1) hide show
  1. README.md +300 -0
README.md CHANGED
@@ -1,3 +1,303 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: apache-2.0
3
  ---
 
1
+ <!-- title -->
2
+ <!-- <div align='center'>
3
+ <img src="icons/TSBOW_icon_white_border.png" alt="TSBOW icon" width="50">
4
+ </div> -->
5
+
6
+ <h1 align='center'>
7
+ TSBOW: Traffic Surveillance Benchmark<br> for Occluded Vehicles
8
+ <br> Under Various Weather Conditions
9
+ </h1>
10
+
11
+
12
+ <!-- MARK: authors -->
13
+ <div align='center'>
14
+ <a href="https://scholar.google.com/citations?user=pCTUkWwAAAAJ">
15
+ Ngoc Doan-Minh Huynh</a> &emsp;
16
+ <a href="https://scholar.google.com/citations?user=crRQGUAAAAAJ">
17
+ Duong Nguyen-Ngoc Tran</a>&emsp;
18
+ <a href="https://scholar.google.com/citations?user=xPyle9AAAAAJ">
19
+ Long Hoang Pham</a>
20
+ </div>
21
+
22
+ <div align='center'>
23
+ Tai Huu-Phuong Tran &emsp;
24
+ Hyung-Joon Jeon &emsp;
25
+ Huy-Hung Nguyen &emsp;
26
+ Duong Khac Vu &emsp;
27
+ Hyung-Min Jeon
28
+ </div>
29
+
30
+ <div align='center'>
31
+ Son Hong Phan &emsp;
32
+ Quoc Pham-Nam Ho &emsp;
33
+ Chi Dai Tran &emsp;
34
+ Trinh Le Ba Khanh &emsp;
35
+ <a href="https://scholar.google.com/citations?user=9z0SfKoAAAAJ">
36
+ Jae Wook Jeon</a>
37
+ </div>
38
+
39
+
40
+ <!-- affliation -->
41
+ <div align='center'>
42
+ <a href="https://micro.skku.ac.kr/micro/index.do">Automation Lab</a>, Sungkyunkwan University
43
+ </div>
44
+
45
+ <br>
46
+
47
+ <div align='center'>
48
+ <b>Corresponding Author</b>: jwjeon@skku.edu
49
+ <br>
50
+ <b>Contact for Dataset</b>: {ngochdm, duongtran, phlong}@skku.edu
51
+ </div>
52
+
53
+
54
+ <!-- MARK: URLs -->
55
+ <!-- get img shields at: -->
56
+ <!-- https://shields.io/badges -->
57
+ <!-- check icon at: -->
58
+ <!-- https://github.com/simple-icons/simple-icons/blob/master/slugs.md -->
59
+ <br>
60
+
61
+ <div align="center">
62
+ <a href="https://skkuautolab.github.io/TSBOW/"><img src="https://img.shields.io/static/v1?label=TSBOW&message=Website&color=fa9f1b" style="height: 25px;"></a>  
63
+ <a href="https://aaai.org/conference/aaai/aaai-26/"><img src="https://img.shields.io/static/v1?label=DOI_AAAI&message=updating&color=green" style="height: 25px;"></a>  
64
+ <a href="https://aaai.org/conference/aaai/aaai-26/"><img src="https://img.shields.io/static/v1?label=Supplementary_arXiv&message=updating&color=FF0066&logo=arxiv" style="height: 25px;"></a>  
65
+ <br>
66
+ <a href="https://github.com/SKKUAutoLab/TSBOW"><img src="https://img.shields.io/static/v1?label=Code&message=Github&color=6699FF&logo=github" style="height: 25px;"></a>  
67
+ <a href="https://huggingface.co/datasets/SKKUAutoLab/TSBOW"><img src="https://img.shields.io/static/v1?label=Dataset&message=HuggingFace&color=FF6600&logo=huggingface" style="height: 25px;"></a>  
68
+ </div>
69
+
70
+ <br>
71
+
72
+ (UPDATING....)
73
+
74
+ (All links would be updated on the conference day.)
75
+
76
+ Please download our Github repo to get better markdown view (i.e. Visual Code).
77
+
78
+
79
+ ![TSBOW Dataset Scenes](images/Figure_All_Scenes.png)
80
+
81
+
82
+ <!-- MARK: News -->
83
+
84
+ ## 🎉NEWS
85
+
86
+ <!-- + [2026.01.20] 🎆 TSBOW dataset is available on HuggingFace. -->
87
+ <!-- + [2025.12.31] 🔥 Our paper, code and TSBOW dataset are released! -->
88
+
89
+ + [2025.11.16] 🔥 Our code and website are released!
90
+ + [2025.11.08] 🎉 **<span style="color: #FFCC00">T</span><span style="color: #33CCCC">S</span><span style="color: #FF6600">B</span><span style="color: #6699FF">O</span><span style="color: #FF0066">W</span>** has been accepted to **AAAI 2026**!
91
+
92
+
93
+ <!-- MARK: Abstract -->
94
+
95
+ ## Abstract
96
+
97
+ Global warming has intensified the frequency and severity of extreme weather events, which degrade CCTV signal and video quality while disrupting traffic flow, thereby increasing traffic accident rates. Existing datasets, often limited to light haze, rain, and snow, fail to capture extreme weather conditions. To address this gap, this study introduces the **T**raffic **S**urveillance **B**enchmark for **O**ccluded Vehicles under Various **W**eather Conditions (**TSBOW**), a comprehensive dataset designed to enhance occluded vehicle detection across diverse annual weather scenarios. Comprising over 32 hours of real-world traffic data from densely populated urban areas, TSBOW includes more than 48,000 manually annotated bounding boxes and 3.2 million semi-labeled boxes, spanning eight traffic participant classes from large vehicles to micromobility devices and pedestrians. We establish an object detection benchmark for TSBOW, highlighting challenges posed by occlusions and adverse weather. With its varied road types, scales, and viewpoints, TSBOW serves as a critical resource for advancing Intelligent Transportation Systems. Our findings underscore the potential of CCTV-based traffic monitoring, paving the way for new research and applications. The TSBOW dataset is available at: https://github.com/SKKUAutoLab/TSBOW.
98
+
99
+
100
+ <!-- MARK: Overview -->
101
+
102
+ ## Overview
103
+
104
+ <div align="center" style="max-width:900px; margin: 10px auto 20px; border-radius: 8px;">
105
+ <img src="images/Github_StatsTable_1x6.png" alt="TSBOW Stats" style="width:100%; height:auto; display:block; border-radius:6px;">
106
+ <p><b>Dataset Statistics</b></p>
107
+ </div>
108
+
109
+
110
+ <div align="center" style="max-width:1000px; margin: 10px auto 20px;">
111
+ <div style="display:flex; gap:18px; justify-content:center; align-items:flex-start; flex-wrap:wrap;">
112
+ <div style="flex:1 1 440px; max-width:58%; text-align:center;">
113
+ <img src="images/Figure_Suwon_Camera_Map.png" alt="Recording Locations" style="width:100%; height:auto; display:block; border-radius:6px;">
114
+ <p style="margin:8px 0 0 0; font-weight:600;">Recording Locations</p>
115
+ </div>
116
+ <div style="flex:1 1 440px; max-width:44%; text-align:center;">
117
+ <img src="images/Chart_SunburstChart_Attributes.png" alt="Video Distribution" style="width:100%; height:auto; display:block; border-radius:6px;">
118
+ <p style="margin:8px 0 0 0; font-weight:600;">Video Distribution</p>
119
+ </div>
120
+ </div>
121
+ </div>
122
+
123
+ <div align="center" style="max-width:900px; margin: 10px auto 20px; border-radius: 8px;">
124
+ <img src="images/Chart_TSBOW_ClassDist.png" alt="Class Dist" style="width:100%; height:auto; display:block; border-radius:6px;">
125
+ <p><b>Class Distribution</b></p>
126
+ </div>
127
+
128
+ <!-- Table 2x3 for github -->
129
+ <!-- <div align="center">
130
+ <table style="width: 100%; max-width: 800px; margin: 30px auto; border-collapse: collapse;">
131
+ <tr>
132
+ <td style="padding: 25px 15px; text-align: center; border: 1px solid #ddd; background: #092030;">
133
+ <h2 style="margin: 0; font-size: 2.5em; color: #33CCCC; font-weight: bold;">198</h2>
134
+ <p style="margin: 8px 0 0 0; font-size: 1.1em; color: #33CCCC; font-weight: bold;">📹 Processed Videos 📹</p>
135
+ </td>
136
+ <td style="padding: 25px 15px; text-align: center; border: 1px solid #ddd; background: #092030;">
137
+ <h2 style="margin: 0; font-size: 2.5em; color: #FFCC00; font-weight: bold;">32 h</h2>
138
+ <p style="margin: 8px 0 0 0; font-size: 1.1em; color: #FFCC00; font-weight: bold;">⏱️ Duration ⏱️</p>
139
+ </td>
140
+ <td style="padding: 25px 15px; text-align: center; border: 1px solid #ddd; background: #092030;">
141
+ <h2 style="margin: 0; font-size: 2.5em; color: #6699FF; font-weight: bold;">3.2 M</h2>
142
+ <p style="margin: 8px 0 0 0; font-size: 1.1em; color: #6699FF; font-weight: bold;">🖼️ Total Frames 🖼️</p>
143
+ </td>
144
+ </tr>
145
+ <tr>
146
+ <td style="padding: 25px 15px; text-align: center; border: 1px solid #ddd; background: #092030;">
147
+ <h2 style="margin: 0; font-size: 2.5em; color: #FF6600; font-weight: bold;">71.1 M</h2>
148
+ <p style="margin: 8px 0 0 0; font-size: 1.1em; color: #FF6600; font-weight: bold;">Semi-Annotated<br>Instances</p>
149
+ </td>
150
+ <td style="padding: 25px 15px; text-align: center; border: 1px solid #ddd; background: #092030;">
151
+ <h2 style="margin: 0; font-size: 2.5em; color: #33CCFF; font-weight: bold;">48 K</h2>
152
+ <p style="margin: 8px 0 0 0; font-size: 1.1em; color: #33CCFF; font-weight: bold;">Manual-Annotated<br>Frames</p>
153
+ </td>
154
+ <td style="padding: 25px 15px; text-align: center; border: 1px solid #ddd; background: #092030;">
155
+ <h2 style="margin: 0; font-size: 2.5em; color: #FF0066; font-weight: bold;">1.1 M</h2>
156
+ <p style="margin: 8px 0 0 0; font-size: 1.1em; color: #FF0066; font-weight: bold;">Manual-Anotated<br>Instances</p>
157
+ </td>
158
+ </tr>
159
+ </table>
160
+ </div> -->
161
+
162
+ <!-- Table 1x6 for poster -->
163
+ <!-- <div align="center">
164
+ <table style="width: 100%; max-width: 1100px; margin: 30px auto; border-collapse: collapse;">
165
+ <tr>
166
+ <td style="padding: 25px 15px; text-align: center; border: 1px solid #ddd; background: #092030;">
167
+ <h2 style="margin: 0; font-size: 2.5em; color: #33CCCC; font-weight: bold;">198</h2>
168
+ <p style="margin: 8px 0 0 0; font-size: 1.1em; color: #33CCCC; font-weight: bold;">Processed Videos<br>📹</p>
169
+ </td>
170
+ <td style="padding: 25px 15px; text-align: center; border: 1px solid #ddd; background: #092030;">
171
+ <h2 style="margin: 0; font-size: 2.5em; color: #FFCC00; font-weight: bold;">32 h</h2>
172
+ <p style="margin: 8px 0 0 0; font-size: 1.1em; color: #FFCC00; font-weight: bold;">Duration<br>⏱️</p>
173
+ </td>
174
+ <td style="padding: 25px 15px; text-align: center; border: 1px solid #ddd; background: #092030;">
175
+ <h2 style="margin: 0; font-size: 2.5em; color: #6699FF; font-weight: bold;">3.2 M</h2>
176
+ <p style="margin: 8px 0 0 0; font-size: 1.1em; color: #6699FF; font-weight: bold;">Total Frames<br>🖼️</p>
177
+ </td>
178
+ <td style="padding: 25px 15px; text-align: center; border: 1px solid #ddd; background: #092030;">
179
+ <h2 style="margin: 0; font-size: 2.5em; color: #FF6600; font-weight: bold;">71.1 M</h2>
180
+ <p style="margin: 8px 0 0 0; font-size: 1.1em; color: #FF6600; font-weight: bold;">Semi-Annotated<br>Instances</p>
181
+ </td>
182
+ <td style="padding: 25px 15px; text-align: center; border: 1px solid #ddd; background: #092030;">
183
+ <h2 style="margin: 0; font-size: 2.5em; color: #33CCFF; font-weight: bold;">48 K</h2>
184
+ <p style="margin: 8px 0 0 0; font-size: 1.1em; color: #33CCFF; font-weight: bold;">Manual-Annotated<br>Frames</p>
185
+ </td>
186
+ <td style="padding: 25px 15px; text-align: center; border: 1px solid #ddd; background: #092030;">
187
+ <h2 style="margin: 0; font-size: 2.5em; color: #FF0066; font-weight: bold;">1.1 M</h2>
188
+ <p style="margin: 8px 0 0 0; font-size: 1.1em; color: #FF0066; font-weight: bold;">Manual-Anotated<br>Instances</p>
189
+ </td>
190
+ </tr>
191
+ </table>
192
+ </div> -->
193
+
194
+
195
+ <!-- MARK: Experiments -->
196
+
197
+ ## Experiments
198
+
199
+ <div align="center" style="background:#f4f7fb; padding:18px; border-radius:10px; max-width:1000px; margin: 16px auto;">
200
+ <img src="images/Supp_Models_Performances.png" alt="TSBOW Experiments" style="width:100%; height:auto; border-radius:6px; display:block;">
201
+ </div>
202
+ <p align="center" style="margin:8px 0 0 0; font-weight:600;"> Model performances under different weather conditions </p>
203
+
204
+
205
+ <details>
206
+ <summary>Comparison with other datasets</summary>
207
+ <div align="center" style="background:#f4f7fb; padding:18px; border-radius:10px; max-width:1000px; margin: 16px auto;">
208
+ <img src="images/Supp_Comparison_Performances.png" alt="TSBOW Comparison" style="width:100%; height:auto; border-radius:6px; display:block;">
209
+ </div>
210
+ <p align="center" style="margin:8px 0 0 0; font-weight:600;">Model performances when training on different datasets </p>
211
+
212
+ <div align="center" style="background:#f4f7fb; padding:18px; border-radius:10px; max-width:1000px; margin: 16px auto;">
213
+ <img src="images/Table_1.png" alt="TSBOW Comparison" style="width:100%; height:auto; border-radius:6px; display:block;">
214
+ </div>
215
+ <p align="center" style="margin:8px 0 0 0; font-weight:600;">Comparison of traffic surveillance datasets </p>
216
+
217
+ <div align="center" style="background:#f4f7fb; padding:18px; border-radius:10px; max-width:1000px; margin: 16px auto;">
218
+ <img src="images/Table_7.png" alt="TSBOW Comparison" style="width:100%; height:auto; border-radius:6px; display:block;">
219
+ </div>
220
+ <p align="center" style="margin:8px 0 0 0; font-weight:600;">Models performance for <i>car</i> across different metrics on <b>the comparison set</b> </p>
221
+
222
+ </details>
223
+
224
+
225
+ <details>
226
+ <summary>Tables</summary>
227
+
228
+ <div align="center" style="background:#f4f7fb; padding:18px; border-radius:10px; max-width:1000px; margin: 16px auto;">
229
+ <img src="images/Table_6.png" alt="TSBOW Comparison" style="width:100%; height:auto; border-radius:6px; display:block;">
230
+ </div>
231
+ <p align="center" style="margin:8px 0 0 0; font-weight:600;">Model performances after training 100 epochs and validating with imgsz=1280 on manually labeled test set. </p>
232
+
233
+ <div align="center" style="background:#f4f7fb; padding:18px; border-radius:10px; max-width:1000px; margin: 16px auto;">
234
+ <img src="images/Table_8.png" alt="TSBOW Comparison" style="width:100%; height:auto; border-radius:6px; display:block;">
235
+ </div>
236
+ <p align="center" style="margin:8px 0 0 0; font-weight:600;">YOLOv12x performance across different classes. </p>
237
+
238
+ <div align="center" style="background:#f4f7fb; padding:18px; border-radius:10px; max-width:1000px; margin: 16px auto;">
239
+ <img src="images/Table_9.png" alt="TSBOW Comparison" style="width:100%; height:auto; border-radius:6px; display:block;">
240
+ </div>
241
+ <p align="center" style="margin:8px 0 0 0; font-weight:600;">Influence of dataset characteristics on object detection performance.</p>
242
+
243
+ </details>
244
+
245
+
246
+
247
+ <!-- MARK: Download -->
248
+
249
+ ## Dataset Download
250
+
251
+ We provide scripts to download the TSBOW dataset from HuggingFace. Please refer to the [`download_TSBOW.py`](utils/download_TSBOW.py) script for more details.
252
+
253
+
254
+ <!-- MARK: References -->
255
+
256
+ ## References
257
+
258
+ Thanks to the developers and contributors of the following open-source repositories, whose invaluable work has greatly inspire our project:
259
+
260
+ - [X-AnyLabeling](https://github.com/CVHub520/X-AnyLabeling): An open-source tool for precise bounding box creation.
261
+ - [Ultralytics YOLO](https://github.com/ultralytics/ultralytics): Detection models for training and real-time inferencing.
262
+ - [YOLOv12](https://github.com/sunsmarterjie/yolov12): A model for object detection.
263
+
264
+ Our repository is licensed under the **Apache 2.0 License**. However, if you use other components in your work, please follow their license.
265
+
266
+
267
+ <!-- MARK: Citation -->
268
+
269
+ ## Citation
270
+
271
+ **If our research is helpful to you, please cite our paper using the following BibTeX format**
272
+
273
+ ```bibtex
274
+ @article{Huynh_TSBOW_AAAI_2026,
275
+ title = {TSBOW: Traffic Surveillance Benchmark for Occluded Vehicles Under Various Weather Conditions},
276
+ author = {Ngoc Doan-Minh Huynh, Duong Nguyen-Ngoc Tran, Long Hoang Pham, Tai Huu-Phuong Tran, Hyung-Joon Jeon, Huy-Hung Nguyen, Duong Khac Vu, Hyung-Min Jeon, Son Hong Phan, Quoc Pham-Nam Ho, Chi Dai Tran, Trinh Le Ba Khanh, Jae Wook Jeon},
277
+ journal = {AAAI 2026},
278
+ year = {2025}
279
+ }
280
+ ```
281
+
282
+
283
+ <!-- MARK: Git Stats -->
284
+
285
+ <!-- ![Star History Chart](https://api.star-history.com/svg?repos=SKKUAutoLab/TSBOW&type=Date) -->
286
+
287
+ <!-- ![](https://img.shields.io/github/downloads/SKKUAutoLab/TSBOW/total.svg?style=for-the-badge) -->
288
+
289
+ <!-- <div style="position: relative; display: inline-block;">
290
+ <img src="https://api.star-history.com/svg?repos=SKKUAutoLab/TSBOW&type=Date" alt="Star History Graph">
291
+ <img src="icons/TSBOW_icon_white_BG.png" style="position: absolute; top: 10px; left: 310px; width: 30px; height: 30px;" alt="Custom Avatar">
292
+ </div> -->
293
+
294
+ <div align="center"><a href="#top">🔝 Back to Top</a></div>
295
+
296
+
297
+
298
+
299
+ <!-- https://search.google.com/search-console/ownership?resource_id=https%3A%2F%2Fskkuautolab.github.io%2FTSBOW%2F -->
300
+
301
  ---
302
  license: apache-2.0
303
  ---