chistopat/sku110k-yolo11-object-detector
object-detection model by chistopat
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Model card & documentation
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Two lightweight Ultralytics YOLO11 checkpoints trained on SKU-110K at imgsz=640. The goal is simple: detect product-like objects on shelves and in real-world photos. It is a handy baseline for visual search prototypes, shelf analysis, dense object detection experiments, and other R&D work where a generic object detector is useful. Try it in the browser: free Gradio demo 🚀 The models predict one class: This is not a product-category classifier or a brand-recognition model. It just finds generic retail/product objects. That makes it flexible, but also means you should test it on your own images before using it in any real pipeline. The ONNX exports are fixed-shape exports with input shape [1, 3, 640, 640]. Final test evaluation was run on the SKU-110K test split. Ultralytics skipped one corrupt test image, so the reported test run used 2,935 images and 431,419 instances. Validation checkpoints: This real-world shelf photo was annotated with…
Read the full model card ↗ · Preview checked 2026-10-28T01:39:59.979Z
Inside the original model card — Document outline
- SKU-110K YOLO11 Object Detector 📦
- What's Inside ✨
- Basic Metrics 📊
- Qualitative Example 🖼️
- Quick Start 🚀
- R&D Notes ⚠️
- Files 📁
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Model overview
chistopat/sku110k-yolo11-object-detector is a object-detection model repository published by chistopat on Hugging Face. The source reports the ultralytics 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
- ultralytics
- Recent downloads (30 days)
- 2,450
- Cumulative likes
- 2
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-06-12T12:56:52.000Z
- Last modified
- 2026-06-12T13:13:59.000Z
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 2026-10-06T06:41:58.843Z. 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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