[FEATURE] injest fiftyone datasets

## 🚨🚨 Feature Request

- [ ] Related to an existing [Issue](../issues)
- [x] A new implementation (Improvement, Extension)

### Is your feature request related to a problem?

My problem is being able to ingest fiftyone datasets into deeplake
- exporting would also be an interesting addition

### If your feature will improve `HUB`

Fiftyone is a common dataset import and export tool, integration with deeplake would make such operations easy, and would mean that we do not have to implement such operations from scratch.

### Description of the possible solution

```python3
import deeplake
import fiftyone

# ideally this would be able to detect the various different types and labels and be able to import these accordingly.
dataset = fiftyone.load_dataset('my_dataset')
deeplake.ingest_51('deeplake_data/my_dataset', dataset)
```

### An alternative solution to the problem can look like

Ingest steps could be written manually. (Fiftyone doesn't enforce much structure on the datasets so I am not sure if the original ingest function even has a distinct solution, maybe some basic structure would be required).

**Teachability, Documentation, Adoption, Migration Strategy**
Needs discussion first