YOLO model weights for detecting anime text blocks. The repository is flattened and contains safetensors model files only, plus this model card and license.
Model Details
Task: object detection
Class label:
text_block
Format: safetensors PyTorch state dict
Source format: converted from Ultralytics YOLO
.pt
checkpoints
Metadata: each safetensors file stores class names, YOLO architecture YAML, training args, source path, conversion format, date, and Ultralytics version in its header
Files
File
Variant
Tensors
Size
yolo12n_animetext.safetensors
YOLO12n
691
9.95 MiB
yolo12s_animetext.safetensors
YOLO12s
691
35.54 MiB
yolo12m_animetext.safetensors
YOLO12m
751
77.14 MiB
yolo12l_animetext.safetensors
YOLO12l
1245
101.17 MiB
yolo12x_animetext.safetensors
YOLO12x
1245
226.22 MiB
Usage
These files are raw model state dictionaries, not pickled Ultralytics checkpoint objects. Instantiate the matching YOLOv12 model definition, then load the state dict.
from safetensors.torch import load_file
state_dict = load_file("yolo12n_animetext.safetensors")
Intended Use
Use these weights for detecting rectangular anime text block regions in images, such as manga, anime screenshots, or illustration datasets that contain rendered text.
Limitations
The repository does not include the original training data, evaluation artifacts, or ONNX exports. Users should validate performance on their own target image distribution before using the models in production.
License
This repository is licensed under GPL-3.0. See
LICENSE
.
Runs of mayocream anime-text-yolo on huggingface.co
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24-hour runs
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3-day runs
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