File size: 930 Bytes
be47cc7
fc9a757
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
be47cc7
147e6c9
fc9a757
147e6c9
f9bd84d
 
 
e3f8a5a
fc9a757
f9bd84d
 
 
d625b18
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
---
tags:
- object-detection
- COCO
- YOLO
- Darknet
model-index:
- name: darknet-coco-object_detection
  results:
  - metrics:
    - type: None
      value: '1'
      name: None
    task:
      type: object-detection
      name: object-detection
    dataset:
      name: COCO
      type: COCO
---

## Darknet Object Detection on the COCO dataset

This model uses a pretrained YOLO Darknet model to perform object detection on an input image. The model is able to identify 80 classes from the COCO dataset. The classes are listed here `config/coco.names`.

### Usage
Clone the repository using
```python
repo = Repository("/local_repo_name", clone_from="danieladejumo/darknet-coco-object_detection")
```

Run a detection by using the function `detect(path_to_image)` in the notebook `darknet-coco-object_detection.ipynb`. The output image with the detection rectangle and classes will be saved to `images/image_file_name-det.jpg`