Hirai-Labs/YOLO
By Hirai-Labs · ↓ 4 · ♥ 0 · Updated 2025-08-04
What's in this repo
This page lists the files in Hirai-Labs/YOLO, including face.onnx, person.onnx.
- 2 ONNX models (.onnx files)
- 25 files, including 6 .pt, 5 .bin, 5 .xml, 5 .yaml, 2 .onnx, 1 .md
- Last updated 2025-08-04
ONNX files
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
YOLO Model Repository
A collection of YOLOv8 models for various object detection tasks, optimized for different deployment scenarios.
Available Models
Person Detection Models
-
Nano: Lightweight model for person detection, optimized for edge devices
- Format: OpenVINO
- Size: 640x640
- Task: Detection
-
Small: Better accuracy for person detection with reasonable performance
- Format: OpenVINO
- Size: 640x640
- Task: Detection
Vehicle Detection Models
- Small: Model for accurate vehicle detection
- Format: OpenVINO
- Size: 640x640
- Task: Detection
Indonesian ID Card (KTP) Detection
- Nano: Specialized model for detecting Indonesian ID cards
- Format: PyTorch (.pt)
- Size: 640x640
- Task: Detection
Model Architecture
These models are based on YOLOv8, the latest version of the YOLO (You Only Look Once) family of real-time object detectors. Key features:
- Anchor-free detection system
- Improved backbone and neck architecture
- Better performance-to-size ratio than previous YOLO versions
Model Performance (Still dummy, pls update the real ones later)
| Model | Size | mAP@0.5 | Inference Time (CPU) | Inference Time (GPU) |
|---|---|---|---|---|
| Person Nano | 640x640 | 0.85 | 15ms | 5ms |
| Person Small | 640x640 | 0.89 | 25ms | 8ms |
| Vehicle Small | 640x640 | 0.87 | 28ms | 9ms |
| KTP Nano | 640x640 | 0.92 | 18ms | 6ms |
Model info
Created: 2025-01-09
Updated: 2025-08-04
View on Hugging FaceFiles (25)
Related models
More from Hirai-Labs
No other models by this author.