image imagewidth (px) 300 2.88k | label class label 3
classes |
|---|---|
0fire_hotspot | |
0fire_hotspot | |
0fire_hotspot | |
1illegal_camp | |
1illegal_camp | |
2oil_vandalism | |
2oil_vandalism | |
2oil_vandalism |
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Check out the documentation for more information.
SentinelNG Security Image Dataset
This dataset contains security-related image examples arranged by category. The current tree includes satellite or remote-sensing images under categories such as fire_hotspot, illegal_camp, and oil_vandalism.
Suggested workflow
Use an image-folder loader, inspect class balance and file formats, and split by source or scene where possible to reduce leakage. Document the geographic coverage, image provenance, labeling rules, temporal coverage, and false-positive/false-negative trade-offs before training a detector or classifier.
The labels are not proof that an event is occurring in a new image. Any operational security use requires human review, clear escalation procedures, and validation for the target geography and sensor characteristics.
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