SVAMITVA YOLO11m: Satellite Imagery for Land Parcel Detection in India
Available on 1 platform
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Description
A dataset of satellite images likely intended for object detection tasks, as suggested by the title and platform tags referencing YOLO (You Only Look Once). It is hosted on Kaggle and appears to be related to the SVAMITVA initiative, a land records modernization scheme in India. The specific content, scale, and creation details require verification after download.
Use Cases
Train a YOLO-based object detector to identify land parcels in satellite imagery (inferred from domain, verify after download)
Benchmark geospatial computer vision models on Indian landscape data (inferred from domain, verify after download)
Develop tools for automated land record analysis and mapping (inferred from domain, verify after download)
Strengths
Published on Kaggle, a platform with established data sharing and versioning tools.
Platform tags suggest a clear focus on image data, object detection, and a specific geographic region (India).
Limitations
Metadata is minimal; actual content requires verification after download.
Row count, file formats, and column definitions are unknown, which limits suitability assessment.
License, author, and last updated information are unknown.
Provenance
Source
Likely associated with the SVAMITVA (Survey of Villages and Mapping with Improvised Technology in Village Areas) initiative, based on the title.
Collection Method
Method of data gathering is unknown.
Time Range
Temporal coverage is unknown.
Freshness
Last updated date is unknown; freshness unverified.
Geography
Spatial coverage is likely India, as inferred from the title and platform tags.
License restrictions are unknown; users must verify terms of use before applying the data.