metadata
library_name: lucid
license: apache-2.0
tags:
- image-classification
- inception
- lucid
datasets:
- imagenet-1k
pipeline_tag: image-classification
model-index:
- name: inception-next-tiny
results:
- task:
type: image-classification
dataset:
name: ImageNet-1k
type: imagenet-1k
metrics:
- type: acc@1
value: 82.3
- type: acc@5
value: 96.1
InceptionNeXt-Tiny
Yu et al., 2024 — InceptionNeXt: When Inception Meets ConvNeXt (arXiv:2303.16900)
Lucid port of timm/inception_next_tiny.sail_in1k,
converted to Lucid-native safetensors.
Available weights
| Tag | acc@1 | acc@5 | Params | GFLOPs | Size | Source |
|---|---|---|---|---|---|---|
SAIL_IN1K (default) |
82.3 | 96.1 | 28.1M | — | 107.11 MB | timm |
Usage
import lucid.models as models
from lucid.models.weights import InceptionNeXtTinyWeights
# default tag
model = models.inception_next_tiny_cls(pretrained=True)
# explicit tag (enum or string)
model = models.inception_next_tiny_cls(weights=InceptionNeXtTinyWeights.SAIL_IN1K)
model = models.inception_next_tiny_cls(pretrained="SAIL_IN1K")
# preprocessing travels with the weights
weights = InceptionNeXtTinyWeights.SAIL_IN1K
preprocess = weights.transforms()
logits = model(preprocess(image)[None]).logits
Conversion
Converted from timm/inception_next_tiny.sail_in1k via
python -m tools.convert_weights inception_next_tiny --tag SAIL_IN1K.
Key mapping + numerical parity verified against the source.
License
apache-2.0 — inherited from the original weights.
Citation
@inproceedings{yu2024inceptionnext,
title={InceptionNeXt: When Inception Meets ConvNeXt},
author={Yu, Weihao and Zhou, Pan and Yan, Shuicheng and Wang, Xinchao},
booktitle={CVPR}, year={2024}
}