the-khiem7/snakeaid-yolov12-5291-bbox

---
license: cc0-1.0
task_categories:
- object-detection
tags:
- yolo
- yolov12
- snake-detection
- roboflow
pretty_name: SnakeAid YOLOv12 5291 BBox
---

# SnakeAid YOLOv12 5291 BBox

## Dataset Summary

This repository contains a YOLO-format SnakeAid object-detection dataset for snake detection experiments. It is organized as image/label pairs across `train, valid, test` splits and is intended for training or evaluating YOLO-family detectors, including the related SnakeAid Detect YOLOv12 checkpoints linked below.

> Safety note: snake detection can be safety-critical in real-world use. Treat model outputs trained on this data as assistive signals only; do not use them as the sole basis for handling, approaching, or identifying a snake.

## Key Details

| Field | Value |
| --- | --- |
| Format | YOLO object detection |
| Splits | `train, valid, test` |
| Images | 5291 |
| Label files | 5291 |
| Classes | 22 |
| License metadata | `cc0-1.0` |
| Uploadable local files | 10585 |

## Splits

| Split | Images | Labels |
| --- | ---: | ---: |
| train | 4795 | 4795 |
| valid | 265 | 265 |
| test | 231 | 231 |

## File Layout

```text
data.yaml
train/images/*.jpg
train/labels/*.txt
valid/images/*.jpg
valid/labels/*.txt
test/images/*.jpg
test/labels/*.txt
```

Each image is paired with a YOLO `.txt` label file using the same stem. Class names and split paths are defined in `data.yaml`.

## Classes

| Class ID | Name |
| ---: | --- |
| 0 | `cap_nia_bac` |
| 1 | `cap_nia_nam` |
| 2 | `cap_nong` |
| 3 | `ho_mang_chua` |
| 4 | `ho_mang_xiem` |
| 5 | `khiem_vach` |
| 6 | `luc_cuom` |
| 7 | `luc_nua` |
| 8 | `luc_xanh` |
| 9 | `luc_xanh_duoi_do` |
| 10 | `ran_cuom` |
| 11 | `ran_dai_lon` |
| 12 | `ran_hoa_can_van_dom` |
| 13 | `ran_hoa_co_do` |
| 14 | `ran_rao` |
| 15 | `ran_rao_trau` |
| 16 | `ran_ri_ca` |
| 17 | `ran_roi` |
| 18 | `ran_sai_co` |
| 19 | `ran_soc_dua` |
| 20 | `ran_soc_go` |
| 21 | `ran_trun` |

## Loading Example

```python
from huggingface_hub import snapshot_download

dataset_dir = snapshot_download(
repo_id="the-khiem7/snakeaid-yolov12-5291-bbox",
repo_type="dataset",
)
print(dataset_dir)
```

For YOLO training, point your training command at the downloaded `data.yaml`.

## Provenance

- workspace: anh-by-i-n-nh-em
- project: snakeaid
- version: 7
- license: Public Domain
- url: https://universe.roboflow.com/anh-by-i-n-nh-em/snakeaid/dataset/7

## Related Models

- None

## Limitations

- The dataset is provided as a local YOLO export, not as a fully curated benchmark.
- Class balance, duplicate images, annotation quality, and real-world geographic coverage have not been independently audited in this upload workflow.
- Performance can vary significantly with lighting, camera angle, occlusion, species similarity, and image quality.
- Use additional validation before deploying a detector trained on this data in field or safety-sensitive settings.