pakiino/2026-24679-desk-mug-image-hw2
image-classification model by pakiino
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Model card & documentation
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Predicts whether a desk photo contains a drinking mug (label: 0/1), using AutoGluon's MultiModalPredictor to fine-tune a pretrained timmimage backbone. Two backbones were compared on validation balanced accuracy and the better one was kept. Built for CMU 24-679 (Designing and Prototyping AI Systems), HW2 Part 2. cannj/2026-24679-desk-mug-dataset. The dataset ships only original (30 source photos) and augmented (300 variants, 10 per photo) splits, so train/validation/test were built here, split at the source-photo level (via parentid) so a photo's original and all of its augmented…
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Model overview
pakiino/2026-24679-desk-mug-image-hw2 is a image-classification model repository published by pakiino on Hugging Face. The source reports the timm library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-classification
- Library
- timm
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-09-22T06:26:28.000Z
- Last modified
- 2026-09-22T06:26:36.000Z
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 2026-09-22T06:37:17.952Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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