File size: 2,842 Bytes
04166df 846c9c4 04166df 846c9c4 04166df 846c9c4 04166df 846c9c4 04166df 846c9c4 04166df 846c9c4 04166df 846c9c4 04166df 846c9c4 04166df 846c9c4 04166df 846c9c4 04166df |
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 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 |
---
dataset:
name: Animal Sound Classification Dataset
dataset_type: audio-classification
license: mit
annotations_creators:
- expert-generated
language:
- no-linguistic-content
task_categories:
- audio-classification
pretty_name: Animal Sound Classification
size_categories:
- 1<n<1.1K
tags:
- animal-sounds
- audio
- sound-classification
- environmental-sounds
- MFCC
- open-dataset
- sound-recognition
dataset_info:
features:
- name: audio
type: audio
- name: label
type: string
splits:
- name: train
num_bytes: TO_BE_FILLED
num_examples: TO_BE_FILLED
creators:
- name: Muhammad Qasim
url: https://github.com/MuhammadQasim111
license: mit
pretty_name: Animal Sound Classification
---
# πΎ Animal Sound Classification Dataset
> **A meticulously handcrafted dataset of labeled animal sounds for Machine Learning & Audio Classification tasks.**
> **Built with love, precision, and open-source spirit.**
---
## π Dataset Details
### π Dataset Description
The **Animal Sound Classification Dataset** contains curated audio clips of **dogs, cats, cows**, and more, extracted from longer recordings and meticulously trimmed to create clean, high-quality sound samples.
Over a period of **two months**, I manually processed, trimmed, and labeled each audio file. I also prepared the dataset for ML pipelines by extracting **MFCC (Mel-Frequency Cepstral Coefficients)** features to ensure seamless integration for developers and researchers.
ALL THE HECTIC WORK OF MINE IS SERVED TO YOU ON A DISH, FOR FREE OF COST!
- **Curated by:** Muhammad Qasim
- **Funded by:** Self-initiated Open-Source Project
- **License:** MIT License
- **Language(s):** Non-linguistic (animal sounds)
---
## π Dataset Sources
- **Repository:** [Hugging Face Link](https://huggingface.co/datasets/MuhammadQASIM111/Animal_Sound_Classification)
---
## π Uses
### β
Direct Use
- Audio classification model training.
- Sound recognition AI systems.
- Educational apps that teach animal sounds.
- Wildlife and livestock sound monitoring AI.
### π« Out-of-Scope Use
- Speech Recognition tasks.
- Use in sensitive environments without proper augmentation.
- Misuse for deceptive simulations.
---
## ποΈ Dataset Structure
| Field Name | Type | Description |
|------------|--------|------------------------------------|
| audio | Audio | The sound clip (.wav file) |
| label | String | Animal class label (e.g., "dog") |
### Folder Structure
```bash
animal-sounds-dataset/
βββ data/
β βββ dog_bark_1.wav
β βββ cat_meow_2.wav
β βββ cow_moo_3.wav
β
βββ dataset.py
βββ dataset_infos.json
βββ README.md
|