best
Model Information
This is a YOLO11-based segmentation model for detecting Resident Space Objects (RSOs) in satellite imagery.
Classes
- streak: Class 0
Usage
from huggingface_hub import InferenceClient
client = InferenceClient(model="best")
result = client.image_segmentation(image)
Training Metrics
- mAP@50: 0.8750
- mAP@50-95: 0.6194
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Evaluation results
- Mean Average Precision (mAP@50) on RSO Detection Datasetself-reported0.875
- Mean Average Precision (mAP@50-95) on RSO Detection Datasetself-reported0.619