SynthMap+ (English) Synthetic Train Data for ICDAR'25 MapText Competition
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下载链接：
https://zenodo.org/record/14480730
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资源简介：
Dataset of synthetic map images in English for the ICDAR'25 Competition on Historical Map Text Detection, Recognition, and Linking.
Annotations and images follow the format described at the competition website.
Please refer to [1] for the generation process and usage. We extend [1] to provide grouping labels for location phrases.
Train
Annotations
en25synth_train.json
Images
train.zip
Files
en25synth/train/*.jpg
Tiles
35,000
Map Sheets
-
Words
348,494
Label Groups
157,483
Label Groups (Group Size > 1)
133,955
Illegible Words
0
Truncated Words
0
Valid Words
348,494
[1] Lin, Y., & Chiang, Y. -Y. (2024). Hyper-local deformable transformers for text spotting on historical maps. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 5387-5397).
创建时间：
2024-12-16
