The invention discloses a
jungle scene illumination and clustering degree dual-adaptive animal detection method, and relates to the technical field of image recognition, and the method comprises the following five steps: obtaining a balanced
training set with a source mark through
data field reforming and rare class condition synthesis in combination with triple quality inspection and progressive matching; implementing scene consistency enhancement of
label synchronization, linkage of geometry and illumination disturbance, border-crossing repair and failure
rollback; an illumination adaptive converter is embedded in the middle layer of the
trunk in parallel, gating residual error fusion is carried out, and a brightness agent amount is exported; according to the brightness proxy amount and the target scale, monotone mapping of a target
confidence threshold and an initial intersection-to-union ratio threshold is established, and neighborhood consistency screening is combined; and
softening non-maximum suppression by combined scheduling of the clustering degree and the brightness proxy amount, and outputting a detection result. The link gives consideration to low illumination,
small target and cluster shielding, improves sample availability and candidate cleanliness, and realizes cooperation from data to a cluster level.