
Computer Vision Data | 3D Maps | 125k Global Locations | 60M Images | SLAM | COLMAP | Depth
uuid
|
dataset_uuid
|
sequence_name
|
sequence_number
|
device_os
|
device_name
|
geo_country_gps
|
geo_city_gps
|
geo_latitude_gps
|
geo_longitude_gps
|
geo_accuracy_gps
|
h3_12_gps
|
timestamp
|
timestamp_gps_timezone
|
orientation_rot_w
|
orientation_rot_x
|
orientation_rot_y
|
orientation_rot_z
|
position_pos_x
|
position_pos_y
|
position_pos_z
|
sfm_rot_w
|
sfm_rot_x
|
sfm_rot_y
|
sfm_rot_z
|
sfm_pos_x
|
sfm_pos_y
|
sfm_pos_z
|
xr_camera_intrinsics_focal_length_x
|
xr_camera_intrinsics_focal_length_y
|
xr_camera_intrinsics_resolution_x
|
xr_camera_intrinsics_resolution_y
|
xr_camera_intrinsics_principal_point_x
|
xr_camera_intrinsics_principal_point_y
|
compass_heading
|
compass_accuracy
|
compass_magnetic
|
satellite_view
|
satellite_used
|
speed_meters_per_second
|
input_acceleration_x
|
input_acceleration_y
|
input_acceleration_z
|
gyro_user_acceleration_x
|
gyro_user_acceleration_y
|
gyro_user_acceleration_z
|
ar_foundation_camera_stats_main_ar_foundation_current_speed
|
ar_foundation_camera_stats_main_ar_foundation_current_angle_speed
|
ar_foundation_camera_stats_main_ar_foundation_time_range_average
|
ar_foundation_camera_stats_main_ar_foundation_in_time_range_average_speed
|
ar_foundation_camera_stats_main_ar_foundation_in_time_range_average_angle_speed
|
ar_foundation_light_manager_main_last_intensity
|
light_estimation_data_average_brightness
|
light_estimation_data_average_color_temperature
|
light_estimation_data_color_correction_value_r
|
light_estimation_data_color_correction_value_g
|
light_estimation_data_color_correction_value_b
|
light_estimation_data_average_intensity_in_lumens
|
light_estimation_data_main_light_intensity_lumens
|
light_estimation_data_average_main_light_brightness
|
last_frame_event_args_exposure_duration
|
last_frame_event_args_exposure_offset
|
application_version
|
application_build_guid
|
exif_aperture_value
|
exif_brightness
|
exif_exposure_time
|
exif_shutter_speed
|
exif_exposure_bias
|
exif_f_number
|
exif_focal_length
|
exif_flash
|
exif_color_space
|
exif_photographic_sensitivity
|
exif_metering_mode
|
depth_camera_configured_depth_sensor_support
|
depth_last_rgb_width
|
depth_last_rgb_height
|
depth_last_depth_width
|
depth_last_depth_height
|
depth_last_depth_confidence_width
|
depth_last_depth_confidence_height
|
depth_last_depth_raw_width
|
depth_last_depth_raw_height
|
depth_last_depth_smoothed_width
|
depth_last_depth_smoothed_height
|
depth_last_human_depth_width
|
depth_last_human_depth_height
|
depth_last_human_stencil_width
|
depth_last_human_stencil_height
|
dataset_images_number
|
dataset_images_rgb_byte_size
|
dataset_images_depth_byte_size
|
dataset_timestamp_first_image
|
dataset_timestamp_last_image
|
dataset_h3_12_declared
|
dataset_h3_12_gps_avg
|
dataset_h3_12_gps_first_image
|
dataset_h3_12_gps_last_image
|
dataset_geo_country_gps_avg
|
dataset_geo_city_gps_avg
|
dataset_geo_latitude_gps_avg
|
dataset_geo_longitude_gps_avg
|
dataset_geo_accuracy_gps_avg
|
dataset_geo_accuracy_gps_median
|
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
uuid
|
String | 80bb696a-3b44-47ff-acbf-b4c180a96ebb_1_0000 | |
dataset_uuid
|
String | 80bb696a-3b44-47ff-acbf-b4c180a96ebb | |
sequence_name
|
Integer | 10000 | |
sequence_number
|
Integer | 0 | |
device_os
|
String | ios | |
device_name
|
String | iPhone15,4 | |
geo_country_gps
|
String | Italy | |
geo_city_gps
|
String | Udine | |
geo_latitude_gps
|
Float | 46.06332 | |
geo_longitude_gps
|
Float | 13.2356424 | |
geo_accuracy_gps
|
Float | 27.0 | |
h3_12_gps
|
Integer | 631043095217792511 | |
timestamp
|
String | 2025-05-21 07:36:50 UTC | |
timestamp_gps_timezone
|
String | Europe - Athens | |
orientation_rot_w
|
Float | 0.2876765 | |
orientation_rot_x
|
Float | 0.05723609 | |
orientation_rot_y
|
Float | -0.9446321 | |
orientation_rot_z
|
Float | 0.1470938 | |
position_pos_x
|
Float | 2.007549 | |
position_pos_y
|
Float | 1.190128 | |
position_pos_z
|
Float | 2.880159 | |
sfm_rot_w
|
Float | ||
sfm_rot_x
|
Float | ||
sfm_rot_y
|
Float | ||
sfm_rot_z
|
Float | ||
sfm_pos_x
|
Float | ||
sfm_pos_y
|
Float | ||
sfm_pos_z
|
Float | ||
xr_camera_intrinsics_focal_length_x
|
Float | 2737.746 | |
xr_camera_intrinsics_focal_length_y
|
Float | 2737.746 | |
xr_camera_intrinsics_resolution_x
|
Integer | 3840 | |
xr_camera_intrinsics_resolution_y
|
Integer | 2160 | |
xr_camera_intrinsics_principal_point_x
|
Float | 1912.398 | |
xr_camera_intrinsics_principal_point_y
|
Float | 1086.938 | |
compass_heading
|
Float | 200.7714 | |
compass_accuracy
|
Float | 11.27206 | |
compass_magnetic
|
Float | 193.0363 | |
satellite_view
|
Integer | ||
satellite_used
|
Integer | ||
speed_meters_per_second
|
Float | ||
input_acceleration_x
|
Float | -0.03260803 | |
input_acceleration_y
|
Float | -0.9468536 | |
input_acceleration_z
|
Float | -0.3839569 | |
gyro_user_acceleration_x
|
Float | -0.05825843 | |
gyro_user_acceleration_y
|
Float | 0.006068945 | |
gyro_user_acceleration_z
|
Float | -0.08283016 | |
ar_foundation_camera_stats_main_ar_foundation_current_speed
|
Float | 0.4792112 | |
ar_foundation_camera_stats_main_ar_foundation_current_angle_speed
|
Float | 8.661532 | |
ar_foundation_camera_stats_main_ar_foundation_time_range_average
|
Float | 1.0 | |
ar_foundation_camera_stats_main_ar_foundation_in_time_range_average_speed
|
Float | 0.4002476 | |
ar_foundation_camera_stats_main_ar_foundation_in_time_range_average_angle_speed
|
Float | 13.75465 | |
ar_foundation_light_manager_main_last_intensity
|
Float | 1.160006 | |
light_estimation_data_average_brightness
|
Float | 0.5405627 | |
light_estimation_data_average_color_temperature
|
Float | 5784.545 | |
light_estimation_data_color_correction_value_r
|
Float | 0.0 | |
light_estimation_data_color_correction_value_g
|
Float | 0.0 | |
light_estimation_data_color_correction_value_b
|
Float | 0.0 | |
light_estimation_data_average_intensity_in_lumens
|
Float | 1081.125 | |
light_estimation_data_main_light_intensity_lumens
|
Float | 0.0 | |
light_estimation_data_average_main_light_brightness
|
Float | 0.0 | |
last_frame_event_args_exposure_duration
|
Float | 0.0166666666666667 | |
last_frame_event_args_exposure_offset
|
Float | 0.0937782 | |
application_version
|
String | v1.6.9 | |
application_build_guid
|
String | b8646ddd53d5c457187e7afa403b9213e | |
exif_aperture_value
|
Float | 1.35614381022528 | |
exif_brightness
|
Float | 4.23416727686798 | |
exif_exposure_time
|
Float | 0.0166666666666667 | |
exif_shutter_speed
|
Float | 5.90798746070115 | |
exif_exposure_bias
|
Float | 0.0 | |
exif_f_number
|
Float | 1.6 | |
exif_focal_length
|
Float | 5.96 | |
exif_flash
|
Boolean | f | |
exif_color_space
|
String | sRGB | |
exif_photographic_sensitivity
|
Integer | 40 | |
exif_metering_mode
|
String | Pattern | |
depth_camera_configured_depth_sensor_support
|
Boolean | t | |
depth_last_rgb_width
|
Integer | 3840 | |
depth_last_rgb_height
|
Integer | 2160 | |
depth_last_depth_width
|
String | ||
depth_last_depth_height
|
String | ||
depth_last_depth_confidence_width
|
String | ||
depth_last_depth_confidence_height
|
String | ||
depth_last_depth_raw_width
|
String | ||
depth_last_depth_raw_height
|
String | ||
depth_last_depth_smoothed_width
|
String | ||
depth_last_depth_smoothed_height
|
String | ||
depth_last_human_depth_width
|
Integer | 256 | |
depth_last_human_depth_height
|
Integer | 144 | |
depth_last_human_stencil_width
|
Integer | 256 | |
depth_last_human_stencil_height
|
Integer | 144 | |
dataset_images_number
|
Integer | 1200 | |
dataset_images_rgb_byte_size
|
Integer | 3237532078 | |
dataset_images_depth_byte_size
|
Integer | 1835095 | |
dataset_timestamp_first_image
|
String | 2025-05-21 07:36:50 UTC | |
dataset_timestamp_last_image
|
String | 2025-05-21 07:42:19 UTC | |
dataset_h3_12_declared
|
Integer | 631043095256282111 | |
dataset_h3_12_gps_avg
|
Integer | 631043095256282111 | |
dataset_h3_12_gps_first_image
|
Integer | 631043095217792511 | |
dataset_h3_12_gps_last_image
|
Integer | 631043095256281599 | |
dataset_geo_country_gps_avg
|
String | Italy | |
dataset_geo_city_gps_avg
|
String | Udine | |
dataset_geo_latitude_gps_avg
|
Float | 46.063405431916664 | |
dataset_geo_longitude_gps_avg
|
Float | 13.235469743 | |
dataset_geo_accuracy_gps_avg
|
Float | 25.671666666666667 | |
dataset_geo_accuracy_gps_median
|
Float | 24.0 |
Description
Country Coverage
History
Volume
125,000 | 3D Maps and Locations |
57.5 million | Images and Metadata |
35 | TB of Raw Data |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License | Not available |
Usage-based |
$2.50 / Per 3D Map |
Suitable Company Sizes
Delivery
Use Cases
Categories
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Factori Points of Interest (POI) Data | Global Coverage | 200M+ POIs

Global POI Data | 56M+ POIs | Business Listings | POI for Maps
Frequently asked questions
What is Computer Vision Data 3D Maps 125k Global Locations 60M Images SLAM COLMAP Depth?
Comprehensive global 3D Maps dataset with 58 Mln smartphone-captured images including depth, poses, and Exif metadata, across 125 K diverse locations. Computer Vision Dataset, ideal for Geospatial and Vision AI Models Training.
What is Computer Vision Data 3D Maps 125k Global Locations 60M Images SLAM COLMAP Depth used for?
This product has 5 key use cases. Over The Reality recommends using the data for Artificial Intelligence (AI), Location Visualization, Spatial Analysis, 3D Vision, and Robotics. Global businesses and organizations buy Map Data from Over The Reality to fuel their analytics and enrichment.
Who can use Computer Vision Data 3D Maps 125k Global Locations 60M Images SLAM COLMAP Depth?
This product is best suited if you’re a Enterprise looking for Map Data. Get in touch with Over The Reality to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Computer Vision Data 3D Maps 125k Global Locations 60M Images SLAM COLMAP Depth go?
This product has 24 months of historical coverage. It can be delivered on a monthly basis.
Which countries does Computer Vision Data 3D Maps 125k Global Locations 60M Images SLAM COLMAP Depth cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Over The Reality is headquartered in Italy.
How much does Computer Vision Data 3D Maps 125k Global Locations 60M Images SLAM COLMAP Depth cost?
Pricing for Computer Vision Data 3D Maps 125k Global Locations 60M Images SLAM COLMAP Depth starts at USD2.50 per Per 3D Map. Connect with Over The Reality to get a quote and arrange custom pricing models based on your data requirements.
How can I get Computer Vision Data 3D Maps 125k Global Locations 60M Images SLAM COLMAP Depth?
Businesses can buy Map Data from Over The Reality and get the data via SFTP and REST API. Depending on your data requirements and subscription budget, Over The Reality can deliver this product in .bin, .json, and .csv format.
What is the data quality of Computer Vision Data 3D Maps 125k Global Locations 60M Images SLAM COLMAP Depth?
You can compare and assess the data quality of Over The Reality using Datarade’s data marketplace.
What are similar products to Computer Vision Data 3D Maps 125k Global Locations 60M Images SLAM COLMAP Depth?
This product has 3 related products. These alternatives include Global 3D Maps Spatial Models Training Data 125K Locations Machine Learning Data 35TB Raw Images, Global Location Data 230M+ Business & POI Locations Geographic & Mapping Insights Bulk Delivery, and Factori Points of Interest (POI) Data Global Coverage 200M+ POIs. You can compare the best Map Data providers and products via Datarade’s data marketplace and get the right data for your use case.