Finding the Street-Level Images You Need in Mapillary

Finding the Street-Level Images You Need in Mapillary FOSS4G Hiroshima 2026 LT Hironori Banno (bannyaaa)

What is Mapillary? An open data platform for crowdsourced street-level images Mapillary Platform Upload Download Open data (CC BY-SA)

©︎ ©︎ ©︎ ©︎ ©︎ ©︎ Mapillary Has Diverse Images Different subjects and capture conditions ChenJJ (CC BY-SA) musashino5 (CC BY-SA) Ca73 (CC BY-SA) yasunari (CC BY-SA) snhoybekcxnb (CC BY-SA) mitz (CC BY-SA) We need to select images that fit our purpose

• https://www.mapillary.com/app/?pKey=482665854486773
• https://www.mapillary.com/app/?pKey=827277242415924
• https://www.mapillary.com/app/?pKey=1788089251715166
• https://www.mapillary.com/app/?pKey=3532646383506314
• https://www.mapillary.com/app/?pKey=1353503245156337
• https://www.mapillary.com/app/?pKey=723886526779021

Demo Scenario Find images from central Hiroshima like the example below: Sampling area Target image example Bright Pedestrian / driver viewpoint Non-panoramic Sharp @lvl5 (CC BY-SA) Area data: MLIT National Land Numerical Information (Administrative Areas) modified (CC BY 4.0) Map data: @OpenStreetMap contributors

• https://nlftp.mlit.go.jp/ksj/gml/datalist/KsjTmplt-N03-2026.html
• https://www.openstreetmap.org/copyright
• https://www.mapillary.com/app/?pKey=203207731493161

Three-Step Filtering Pipeline Metadata Low Non-AI Image Analysis AI-based Image Analysis Brightness / Blur Semantic Segmentation Computational cost Start with lower-cost steps High

©︎ 1. Filtering with Metadata Every Mapillary image has metadata Image Metadata image id: 2157221781753991 captured at: Feb 7, 2026, 2:11 PM is panoramic: False geometry: Point (132.47, 34.40) compass angle: 5.47 maheshika (CC BY-SA) quality score: 0.69 creator id: 102993915277414 … …

• https://www.mapillary.com/app/?pKey=2157221781753991

©︎ ©︎ ©︎ 1. Filtering with Metadata Selected Not selected Daytime Nighttime created at: @drivephotograph (CC BY-SA) alt9800 (CC BY-SA) Panoramic Non-panoramic is panoramic: okadatsuneo (CC BY-SA) potaro67v (CC BY-SA) Filtering before download reduces later processing

• https://www.mapillary.com/app/?pKey=728346923392849
• https://www.mapillary.com/app/?pKey=1856206328672911
• https://www.mapillary.com/app/?pKey=1075240323891780
• https://www.mapillary.com/app/?pKey=134718451941515

©︎ ©︎ ©︎ ©︎ 2. Filtering with Brightness and Blur Selected Bright Not selected Slightly dark Brightness: okadatsuneo (CC BY-SA) drivephotograph (CC BY-SA) Blurred Sharp Blur: hiroshi (CC BY-SA) yasunari (CC BY-SA) ※Brightness: Mean RGB, Blur: Laplacian variance, Using OpenCV Simple and fast checks for basic image quality

• https://www.mapillary.com/app/?pKey=2090466798204725
• https://www.mapillary.com/app/?pKey=176631261011930
• https://www.mapillary.com/app/?pKey=1500914961275714
• https://www.mapillary.com/app/?pKey=1188584754939781

©︎ 3. Filtering with Semantic Segmentation Input lvl5 (CC BY-SA) Output Road: 32%, Building: 30%, Vegetation: 15%, … ※Using Mask2Former (facebook/mask2former-swin-tiny-cityscapes-semantic)

• https://www.mapillary.com/app/?pKey=139027748257285

©︎ ©︎ ©︎ ©︎ 3. Filtering with Semantic Segmentation Road + Sidewalk ≥ 10% Selected Not selected jopparn, modified (CC BY-SA) jopparn (CC BY-SA) lvl5, modified (CC BY-SA) okadatsuneo (CC BY-SA) Helps select pedestrian / driver viewpoint

• https://www.mapillary.com/app/?pKey=161165165968751
• https://www.mapillary.com/app/?pKey=280770533714969
• https://www.mapillary.com/app/?pKey=115278220629431
• https://www.mapillary.com/app/?pKey=736423922235838

©︎ ©︎ ©︎ Filtering Results Metadata Non-AI Image Analysis AI-based Image Analysis Selected … okadatsuneo (CC BY-SA) @drivephotograph (CC BY-SA) lvl5 (CC BY-SA) jopparn (CC BY-SA) Build a filtering pipeline for your purpose

• https://www.mapillary.com/app/?pKey=728346923392849
• https://www.mapillary.com/app/?pKey=1075240323891780
• https://www.mapillary.com/app/?pKey=139027748257285
• https://www.mapillary.com/app/?pKey=161165165968751

Finding the Street-Level Images You Need ✓The diversity of images is a key feature of Mapillary ✓Every image is valuable to someone Filtering helps you find images that fit your purpose!