semvec/pypi-packages huggingface dataset:
yolo-v43 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv43

Implementation of paper - [YOLOv43](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v43
```
yolo-v42 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv42

Implementation of paper - [YOLOv42](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v42
```
yolo-v41 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv41

Implementation of paper - [YOLOv41](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v41
```
yolo-v40 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv40

Implementation of paper - [YOLOv40](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v40
```
yolo-v39 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv39

Implementation of paper - [YOLOv39](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v39
```
yolo-v38 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv38

Implementation of paper - [YOLOv38](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v38
```
yolo-v37 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv37

Implementation of paper - [YOLOv37](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v37
```
yolo-v36 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv36

Implementation of paper - [YOLOv36](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v36
```
yolo-v35 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv35

Implementation of paper - [YOLOv35](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v35
```
yolo-v34 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv34

Implementation of paper - [YOLOv34](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v34
```
yolo-v33 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv33

Implementation of paper - [YOLOv33](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v33
```
yolo-v32 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv32

Implementation of paper - [YOLOv32](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v32
```
yolo-v31 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv31

Implementation of paper - [YOLOv31](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v31
```
yolo-v30 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv30

Implementation of paper - [YOLOv30](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v30
```
yolo-v29 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv29

Implementation of paper - [YOLOv29](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolo-v29
```