Datasets:
Update README.md
Browse files
README.md
CHANGED
@@ -43,7 +43,7 @@ The dataset is divided into several subsets based on the distribution of object
|
|
43 |
| Hom. | 490 | 289 | 201 |
|
44 |
| Adv. | 334 | 170 | 164 |
|
45 |
|
46 |
-
|
47 |
|
48 |
<!-- Provide a longer summary of what this dataset is. -->
|
49 |
|
@@ -175,8 +175,79 @@ The dataset is divided into several subsets based on the distribution of object
|
|
175 |
}
|
176 |
|
177 |
```
|
|
|
|
|
178 |
|
179 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
180 |
## Dataset Construction
|
181 |
|
182 |
The dataset used in this study is constructed following the guidelines and protocols outlined by the SLED group. Detailed information and code about the data annotation process can be found in the official repository.
|
@@ -191,9 +262,10 @@ For more information, please visit the [dataset construction guidelines](https:/
|
|
191 |
**BibTeX:**
|
192 |
|
193 |
```bibtex
|
194 |
-
@
|
195 |
-
|
196 |
-
|
197 |
-
|
198 |
-
|
|
|
199 |
}
|
|
|
43 |
| Hom. | 490 | 289 | 201 |
|
44 |
| Adv. | 334 | 170 | 164 |
|
45 |
|
46 |
+
## Dataset Structure
|
47 |
|
48 |
<!-- Provide a longer summary of what this dataset is. -->
|
49 |
|
|
|
175 |
}
|
176 |
|
177 |
```
|
178 |
+
## Dataset File Structure
|
179 |
+
The `ROPE` dataset is structured into training and validation directories, each containing images divided by their object class distributions. Each image directory includes visualizations of bounding boxes (`bbox`) and raw images (`raw`), further categorized into `ADE` and `COCO` sources. The `raw` directory contains the original images, while the `bbox` directory contains the same images with bounding boxes visualized on them.
|
180 |
|
181 |
|
182 |
+
|
183 |
+
βββ
|
184 |
+
ROPE/
|
185 |
+
β
|
186 |
+
βββ train/
|
187 |
+
β βββ image/
|
188 |
+
β β βββ AAAAB-images/
|
189 |
+
β β β βββ bbox/
|
190 |
+
β β β β βββ ADE/
|
191 |
+
β β β β βββ COCO/
|
192 |
+
β β β βββ raw/
|
193 |
+
β β β β βββ ADE/
|
194 |
+
β β β β βββ COCO/
|
195 |
+
β β βββ BAAAA-images/
|
196 |
+
β β β βββ bbox/
|
197 |
+
β β β β βββ ADE/
|
198 |
+
β β β β βββ COCO/
|
199 |
+
β β β βββ raw/
|
200 |
+
β β β β βββ ADE/
|
201 |
+
β β β β βββ COCO/
|
202 |
+
β β βββ heterogenous-images/
|
203 |
+
β β β βββ bbox/
|
204 |
+
β β β β βββ ADE/
|
205 |
+
β β β β βββ COCO/
|
206 |
+
β β β βββ raw/
|
207 |
+
β β β β βββ ADE/
|
208 |
+
β β β β βββ COCO/
|
209 |
+
β β βββ homogenous-images/
|
210 |
+
β β β βββ bbox/
|
211 |
+
β β β β βββ ADE/
|
212 |
+
β β β β βββ COCO/
|
213 |
+
β β β βββ raw/
|
214 |
+
β β β β βββ ADE/
|
215 |
+
β β β β βββ COCO/
|
216 |
+
β β βββ mixed-images/
|
217 |
+
β β β βββ bbox/
|
218 |
+
β β β β βββ ADE/
|
219 |
+
β β β β βββ COCO/
|
220 |
+
β β β βββ raw/
|
221 |
+
β β β β βββ ADE/
|
222 |
+
β β β β βββ COCO/
|
223 |
+
β βββ AAAAB_data.json
|
224 |
+
β βββ BAAAA_data.json
|
225 |
+
β βββ merged_heterogenous_data.json
|
226 |
+
β βββ merged_homogenous_data.json
|
227 |
+
β βββ merged_mixed_data.json
|
228 |
+
β
|
229 |
+
βββ validation/ #similar to train part
|
230 |
+
β βββ image/
|
231 |
+
β β βββ AAAAB-images/
|
232 |
+
β β βββ BAAAA-images/
|
233 |
+
β β βββ heterogenous-images/
|
234 |
+
β β βββ homogenous-images/
|
235 |
+
β β βββ mixed-images/
|
236 |
+
β βββ AAAAB_data.json
|
237 |
+
β βββ BAAAA_data.json
|
238 |
+
β βββ merged_heterogenous_data.json
|
239 |
+
β βββ merged_homogenous_data.json
|
240 |
+
β βββ merged_mixed_data.json
|
241 |
+
β
|
242 |
+
βββ .gitattributes
|
243 |
+
βββ README.md
|
244 |
+
βββ train.zip
|
245 |
+
βββ validation.zip
|
246 |
+
|
247 |
+
|
248 |
+
|
249 |
+
βββ
|
250 |
+
|
251 |
## Dataset Construction
|
252 |
|
253 |
The dataset used in this study is constructed following the guidelines and protocols outlined by the SLED group. Detailed information and code about the data annotation process can be found in the official repository.
|
|
|
262 |
**BibTeX:**
|
263 |
|
264 |
```bibtex
|
265 |
+
@misc{xuweiyi2024multiobjecthallucination,
|
266 |
+
title={Multi-Object Hallucination in Vision-Language Models},
|
267 |
+
author={Xuweiyi Chen and Ziqiao Ma and Xuejun Zhang and Sihan Xu and Shengyi Qian and Jianing Yang and David Fouhey and Joyce Y. Chai},
|
268 |
+
year={2024},
|
269 |
+
archivePrefix={arXiv},
|
270 |
+
primaryClass={cs.CV}
|
271 |
}
|