Downloads · 30 days
0
pinball-score-detection-yolov11X
rwitz/pinball-score-detection-yolov11X
pinball-score-detection-yolov11X is a machine learning model from rwitz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This repository contains a YOLOv11x model trained to detect pinball scores in images. The model aims to facilitate the segmentation of pinball scores for Optical Character Recognition (OCR) tasks.
Access
Public
Updated Nov 22, 2024
Repo size
229 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt229 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Nov 22, 2024
- Updated
- Nov 22, 2024
- SHA
- f3b32cbd
Model card
From the Hugging Face model README
YOLOv11x Model for Pinball Score Detection
Overview
This repository contains a YOLOv11x model trained to detect pinball scores in images. The model aims to facilitate the segmentation of pinball scores for Optical Character Recognition (OCR) tasks.
Dataset
- Images: 1,100 hand-annotated images.
- Annotations: Bounding boxes around pinball scores.
Training Details
The model was trained over 100 epochs using an A100 GPU with 40GB VRAM.
Performance Metrics at Final Epoch
Validation Metrics
Class Images Instances P R mAP50 mAP50-95
100%|██████████| 7/7 [00:01<00:00, 4.28it/s]
all 152 187 0.958 0.968 0.973 0.655
- Precision (P): 0.958
- Recall (R): 0.968
- Mean Average Precision at IoU=0.50 (mAP50): 0.973
- Mean Average Precision at IoU=0.50:0.95 (mAP50-95): 0.655
Purpose
The primary goal of this model is to detect pinball scores in any image to enable segmentation for OCR processing.
- License
- apache-2.0
- Created
- Nov 22, 2024
- Updated
- Nov 22, 2024