Model overview
MiewID-msv3 is a feature extractor trained for re-identification using contrastive learning on a large, high-quality dataset of 64 wildlife species - terrestrial and aquatic - including fins, flukes, flanks, faces. - **Model Type:** Wildlife re-identification feature backbone - **Model Stats:** - Params (M): 51.11 - GMACs: 24.38 - Activations (M): 91.11 - Image size: 440 x 440 - **Repository:** https://github.com/WildMeOrg/wbia-plugin-miew-id - **Backbone:** https://huggingface.co/timm/efficientnetv2_rw_m.agc_in1k
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：来源未披露，须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。