add openvino format

README.md

@@ -1 +1,66 @@
+---
+language: en
+license: agpl-3.0
+tags:
+  - yolov8
+  - object-detection
+  - computer-vision
+  - opencv
+  - openvino
+  - pytorch
+  - ultralytics
+datasets:
+  - coco
+library_name: ultralytics
+pipeline_tag: object-detection
+inference: true
+---
+
 # 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 |

person/small/person_openvino_model/metadata.yaml

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+description: Ultralytics person model trained on /kaggle/working/data.yaml
+author: Ultralytics
+date: '2025-04-29T10:36:05.132869'
+version: 8.3.43
+license: AGPL-3.0 License (https://ultralytics.com/license)
+docs: https://docs.ultralytics.com
+stride: 32
+task: detect
+batch: 1
+imgsz:
+- 640
+- 640
+names:
+  0: person

person/small/person_openvino_model/person.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a9f94463544bdbfe6280384f014b8f5266dfcd966d4f975c1583fc3cd6b81dc
+size 44604924

vehicle/small/vehicle_openvino_model/metadata.yaml

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+description: Ultralytics YOLO11s model trained on /kaggle/working/datasets/Vehicle-Detection-3/data.yaml
+author: Ultralytics
+date: '2025-04-29T10:36:46.485244'
+version: 8.3.43
+license: AGPL-3.0 License (https://ultralytics.com/license)
+docs: https://docs.ultralytics.com
+stride: 32
+task: detect
+batch: 1
+imgsz:
+- 640
+- 640
+names:
+  0: bus
+  1: car
+  2: motorcycle
+  3: truck

vehicle/small/vehicle_openvino_model/vehicle.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08da675b1a8ef892ba80419cd811a6a2740acd7e756a3d5034178c25277d33c4
+size 37758492