conservationxlabs/miewid-msv3
feature-extraction model by conservationxlabs
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Model card & documentation
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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. Intended use is re-identification of individuals from different species by matching against a database of grount-truth samples. Model features can also be used for species classification by retrieval. View more usage…
Read the full model card ↗ · Preview checked 2026-11-01T14:49:05.158Z
Inside the original model card — Document outline
- Model Details
- Model Description
- Model Sources [optional]
- Usage
- Embedding Extraction
- More Examples
- Training Details
- Training Data
- Example Images
- Evaluation Results
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Model overview
conservationxlabs/miewid-msv3 is a feature-extraction model repository published by conservationxlabs on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- transformers
- Recent downloads (30 days)
- 125,781
- Cumulative likes
- 6
- Hugging Face trending score
- 1
- Reported safetensors parameters
- 51,420,813
- Architecture
- MiewIdNet
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2024-10-15T17:56:53.000Z
- Last modified
- 2025-02-13T01:14:36.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:29.511Z. Daily imports are snapshots, not real-time monitoring.
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