metadata
license: mit
tags:
- yolo11
- ultralytics
- image-segmentation
- deep-learning
datasets:
- custom
library_name: ultralytics
base_model: yolo11
inference:
library: ultralytics
parameters:
threshold: 0.5
iou_threshold: 0.5
format: pytorch
model-index:
- name: rayh/astro-seg
results:
- task:
type: image-segmentation
name: Instance Segmentation
dataset:
name: Custom Dataset
type: custom
metrics:
- name: Mean Average Precision (mAP@50)
type: mean_average_precision
value: 0.5899
- name: Mean Average Precision (mAP@50-95)
type: mean_average_precision
value: 0.2497
fine-tuned-from: Ultralytics/YOLO11
labels:
- normal
- glint
metadata:
label2id:
normal: 0
glint: 1
id2label:
'0': normal
'1': glint
rayh/astro-seg
Model Information
This is a YOLO-based segmentation model exported to ONNX and uploaded for use with Hugging Face Inference API.
Example Visualizations
