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the-khiem7/
snakeaid-detect-yolov12-v4-5000bbox

Name: snakeaid-detect-yolov12-v4-5000bbox
Availability: InStock

the-khiem7/snakeaid-yolov12-5000-bbox

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SnakeAid Detect YOLOv12 v4 5000BBox

Model Summary

This repository contains a SnakeAid Detect YOLOv12 checkpoint for snake object detection. The checkpoint is published as a .pt file and linked to the dataset version used for the corresponding experiment.

Safety note: this model is intended for research, prototyping, and application experiments. Do not use it as the sole authority for snake identification, emergency response, or animal handling decisions.

Checkpoint

Field	Value
File	`SnakeTraining_V4_YOLOv12_Khiem_Bbox5000_20251213_1828.pt`
Size	37.96 MB
SHA256	`b215c030b8f482dcaeed15e4838ad9e6d4c474beefbd330cc5e45cc4c893872b`
Dataset	`the-khiem7/snakeaid-yolov12-5000-bbox`
Architecture	YOLOv12
Version	v4
Trained by	Khiem

Intended Use

Snake detection experiments with YOLOv12-compatible tooling.
Comparing SnakeAid dataset versions and checkpoint variants.
Downstream evaluation, prototyping, and transfer-learning baselines.

Out-of-Scope Use

Safety-critical snake identification without human/expert review.
Medical, veterinary, emergency, or wildlife handling decisions based only on model output.
Deployment to image domains not represented by the linked dataset without additional validation.

Dataset

This model is linked to the-khiem7/snakeaid-yolov12-5000-bbox.

The Hub metadata also includes this dataset in the datasets field so Hugging Face can display the training-data relationship.

Usage Example

python

from huggingface_hub import hf_hub_download

checkpoint_path = hf_hub_download(
    repo_id="the-khiem7/snakeaid-detect-yolov12-v4-5000bbox",
    filename="SnakeTraining_V4_YOLOv12_Khiem_Bbox5000_20251213_1828.pt",
)
print(checkpoint_path)

If your environment supports Ultralytics-compatible YOLOv12 checkpoints:

python

from huggingface_hub import hf_hub_download
from ultralytics import YOLO

checkpoint_path = hf_hub_download(
    repo_id="the-khiem7/snakeaid-detect-yolov12-v4-5000bbox",
    filename="SnakeTraining_V4_YOLOv12_Khiem_Bbox5000_20251213_1828.pt",
)
model = YOLO(checkpoint_path)
results = model.predict("path/to/image.jpg")

Evaluation

No standardized metrics were uploaded with this checkpoint. Evaluate it on a held-out split or a domain-specific benchmark before comparing it with other detectors or deploying it.

Training And Reproducibility Notes

Known metadata:

Architecture: YOLOv12
Version: v4
Trained by: Khiem

The original training code, hyperparameters, random seed, and evaluation logs were not included in this upload.

Related Dataset Version

snakeaid-yolov12-5000-bbox