Orthophoto & Topographic Data: Bi-Modal Space Embeddings (2017-2022)

Open data collection for embeddings created upon research project called "City Knowledge Database" (POIR.01.01.01-00-1274/17-02): grid_krakow_centroid.csvContains the definition of the grid for the city of Kraków, including cell identifiers (id) and boundary coordinates (left, top, right, bottom) in the EPSG:2180 coordinate system (PL-ETRS89). grid_krakow_centroid_neighbors.csvContains the identifiers of neighboring cells for each cell in the Kraków grid. These data allow for the analysis of spatial relationships between cells within the city. embeddings_krakow_2017-img_wizipisi_unetformer.pklContains image embeddings computed for individual grid cells using the Wizipisi_Unetformer network, based on the orthophoto map of Kraków from 2017. These embeddings represent the visual spatial features of the city's terrain. embeddings_krakow_2017-img_txt_openai-clip-vit-base-path32.pklContains image embeddings computed for individual cells using the OpenAI CLIP-ViT-Base-Path32 network, based on the orthophoto map of Kraków from 2017. Additionally, it includes text embeddings for the same cells, computed based on textual descriptions of the terrain generated from the topographic map. embeddings_krakow_2017-img_txt_n4_openai-clip-vit-base-path32.pklContains the average value of embeddings from the embeddings_krakow_2017-img_txt_openai-clip-vit-base-path32.pkl file, calculated by considering 4 neighboring cells for each cell in the grid. embeddings_krakow_2017-img_txt_n8_openai-clip-vit-base-path32.pklContains the average value of embeddings from the embeddings_krakow_2017-img_txt_openai-clip-vit-base-path32.pkl file, calculated by considering 8 neighboring cells for each cell in the grid. embeddings_krakow_2022-img_txt_openai-clip-vit-base-path32.pklContains image embeddings computed for individual cells using the OpenAI CLIP-ViT-Base-Path32 network, based on the orthophoto map of Kraków from 2022. Additionally, it includes text embeddings for the same cells, computed based on textual descriptions of the terrain generated from the topographic map.本嵌入向量开源数据集源自名为「城市知识数据库（City Knowledge Database）」的科研项目，项目编号为POIR.01.01.01-00-1274/17-02： grid_krakow_centroid.csv：包含克拉科夫市网格的定义信息，涵盖网格单元标识符（id）以及EPSG:2180坐标系（PL-ETRS89）下的边界坐标（left、top、right、bottom）。 grid_krakow_centroid_neighbors.csv：收录克拉科夫市各网格单元的相邻单元标识符，可用于分析城市内网格单元间的空间关联关系。 embeddings_krakow_2017-img_wizipisi_unetformer.pkl：基于2017年克拉科夫正射影像图，通过Wizipisi_Unetformer网络为各网格单元计算得到的图像嵌入向量，用于表征城市地形的视觉空间特征。 embeddings_krakow_2017-img_txt_openai-clip-vit-base-path32.pkl：基于2017年克拉科夫正射影像图，通过OpenAI CLIP-ViT-Base-Path32网络为各网格单元计算得到的图像嵌入向量；此外还包含由地形图生成的地形文本描述所计算得到的同批次网格单元文本嵌入向量。 embeddings_krakow_2017-img_txt_n4_openai-clip-vit-base-path32.pkl：该文件包含embeddings_krakow_2017-img_txt_openai-clip-vit-base-path32.pkl中嵌入向量的均值结果，计算时为每个网格单元纳入其4个相邻单元参与平均。 embeddings_krakow_2017-img_txt_n8_openai-clip-vit-base-path32.pkl：该文件包含embeddings_krakow_2017-img_txt_openai-clip-vit-base-path32.pkl中嵌入向量的均值结果，计算时为每个网格单元纳入其8个相邻单元参与平均。 embeddings_krakow_2022-img_txt_openai-clip-vit-base-path32.pkl：基于2022年克拉科夫正射影像图，通过OpenAI CLIP-ViT-Base-Path32网络为各网格单元计算得到的图像嵌入向量；此外还包含由地形图生成的地形文本描述所计算得到的同批次网格单元文本嵌入向量。