East Africa Agricultural Field Centers

Georeferenced crop yield prediction is a valuable tool for agronomists and policymakers. One challenge with many existing datasets is that of location accuracy. GPS locations for fields can end up offset from the true location due to sensor inaccuracies or from locations being collected at the edges of read more...

agriculture

object detection

planetscope

ramp Building Footprint Training Dataset - Accra, Ghana

This chipped training dataset is over Accra and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in read more...

building footprints

object detection

segmentation

ramp Building Footprint Training Dataset - Barishal, Bangladesh

This chipped training dataset is over Barishal and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Bentiu, South Sudan

This chipped training dataset is over Bentiu and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Chittagong, Bangladesh

This chipped training dataset is over Chittagong and parts of the Kutupalong Refugee Camp and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Cox's Bazar, Bangladesh

This chipped training dataset is over Cox's Bazaar and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Dar es Salaam, Tanzania

This chipped training dataset is over Dar es Salaam and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was read more...

building footprints

object detection

segmentation

ramp Building Footprint Training Dataset - Dhaka, Bangladesh

This chipped training dataset is over Dhaka and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Hpa-an, Myanmar

This chipped training dataset is over Hpa-an and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Jashore, Bangladesh

This chipped training dataset is over Jashore and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Karnataka, India

This chipped training dataset is over Karnataka and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Les Cayes, Haiti

This chipped training dataset is over Les Cayes and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Lubumbashi, Democratic Republic of the Congo

This chipped training dataset is over Lubumbashi and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 2 dataset, meaning it has NOT been thoroughly reviewed and improved. This dataset was produced read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Manjama, Sierra Leone

This chipped training dataset is over Manjama and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Mesopotamia, St. Vincent

This chipped training dataset is over Mesopotamia and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Muscat, Oman

This chipped training dataset is over Muscat and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Mzuzu, Malawi

This chipped training dataset is over Mzuzu and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Nairobi, Kenya

This chipped training dataset is over Nairobi and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 2 dataset, meaning it has NOT been thoroughly reviewed and improved. This dataset was produced read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - N'Djamena, Chad

This chipped training dataset is over N'Djamena and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 2 dataset, meaning it has NOT been thoroughly reviewed and improved. This dataset was produced read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Paris, France

This chipped training dataset is over Paris and includes 30cm high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 or smaller pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset read more...

building footprints

object detection

segmentation

worldview-3

ramp Building Footprint Training Dataset - Shanghai, China

This chipped training dataset is over Shanghai and includes 30cm high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 or smaller pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset read more...

building footprints

object detection

segmentation

worldview-3

ramp Building Footprint Training Dataset - Sylhet, Bangladesh

This chipped training dataset is over Sylhet and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 2 dataset, meaning it has NOT been thoroughly reviewed and improved. This dataset was produced read more...

building footprints

maxar

object detection

segmentation

ramp Building Footprint Training Dataset - Wa, Ghana

This chipped training dataset is over Wa and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in read more...

building footprints

maxar

object detection

segmentation