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Description
1,176 mounting posture instances in dairy cattle, annotated for computer vision tasks. The dataset follows the COCO format and was created by eelianafang. Its associated paper, FSMC-Pose, was accepted for CVPR 2026 Findings.
Use Cases
Training object detection models to identify mounting behavior based on visual instances.
Developing pose estimation algorithms for cattle based on the annotated posture data.
Researching automated estrus detection in dairy farming based on the described visual indicators.
Strengths
Contains 1,176 annotated mounting instances.
Follows the widely-used COCO annotation format.
Downloads reached 2.4k within 7 days of release, indicating initial community interest.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Data may reflect temporal or source bias inherent to its collection method.
Provenance
Source
eelianafang
Freshness
Last updated 2026-03-30 15:28:18
License is unknown; terms of use must be verified before application.