yainage90/fashion-object-detection
object-detection model by yainage90
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This model is fine-tuned version of microsoft/conditional-detr-resnet-50. You can find details of model in this github repo -> fashion-visual-search And you can find fashion image feature extractor model -> yainage90/fashion-image-feature-extractor This model was trained using a combination of two datasets: modanet and fashionpedia The labels are ['bag', 'bottom', 'dress', 'hat',…
Read the full model card ↗ · Preview checked 2026-10-28T08:26:58.552Z
Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
yainage90/fashion-object-detection is a object-detection model repository published by yainage90 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
- object-detection
- Library
- transformers
- Recent downloads (30 days)
- 37,788
- Cumulative likes
- 45
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 43,503,053
- Architecture
- ConditionalDetrForObjectDetection
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2024-08-24T11:42:39.000Z
- Last modified
- 2024-12-02T09:24:16.000Z
Compatibility and lineage
Reported languages: en
Reported base models: microsoft/conditional-detr-resnet-50
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:34.007Z. 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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