SVAMITVA-YOLO11x-v3: Object Detection Dataset for Satellite Imagery

SVAMITVA-YOLO11x-v3 is a computer vision dataset hosted on Kaggle. The title suggests it is formatted for training YOLO (You Only Look Once) object detection models, likely version 11x. Its specific content and scale require verification after download.

Use Cases

• Train a YOLO-based model for object detection in aerial or satellite imagery (inferred from domain, verify after download)
• Benchmark object detection performance on geospatial data (inferred from domain, verify after download)
• Fine-tune pre-trained detection models for specific land-use or infrastructure recognition tasks (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for data science and machine learning.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

How gathered, or null.

Time Range

Temporal coverage, or null.

Freshness

Last update date is unknown; freshness unverified.

Geography

Spatial coverage, or null.