mosquitoscope-convnextv2-tiny – AI Model by Sahil35077 | AlphaNeural AI

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Sahil35077/
mosquitoscope-convnextv2-tiny

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MosquitoScope — ConvNeXt V2 Tiny (41 classes)

Production checkpoint for the MosquitoScope web demo: 41 mosquito species, hybrid class-weighted training (v2_enhanced_memsafe).

Metrics

Metric	Value
Test accuracy (TTA)	74.0%
CV mean accuracy	73.9%
Architecture	convnextv2_tiny @ 288px
Classes	41
Train / test	1228 / 308

Usage

python

import torch
import timm

checkpoint = torch.load("mosquito_convnextv2_tiny_final.pth", map_location="cpu", weights_only=False)
model = timm.create_model(checkpoint["model_name"], pretrained=False, num_classes=len(checkpoint["classes"]))
model.load_state_dict(checkpoint["model_state_dict"])
model.eval()

Bundled with the MosquitoScope Flask app; Render pulls this file at deploy time via HF_MODEL_REPO.