Jeremy341/MIRA-AI
object-detection model by Jeremy341
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.
MIRA is a custom YOLO11n object-detection project for waste detection, recycling automation, and automated waste sorting. The models detect five classes: This repository contains PyTorch, ONNX, and TFLite exports from the MIRA experiments. The recommended reference model is miraexp019.pt. These results come from the documented evaluation split used for EXP-019. The repository also contains models from earlier MIRA experiments. The main lesson was that adding more data did not automatically improve the model. Removing inconsistent examples and building a cleaner, more balanced dataset led to the strongest results in EXP-018 and EXP-019. Install the required packages: Download the recommended model directly from Hugging Face: For validation, provide a compatible YOLO dataset configuration: MIRA is intended for research…
Read the full model card ↗ · Preview checked 2026-10-28T03:24:54.900Z
Inside the original model card — Document outline
- MIRA - YOLO11n Waste Detection for Recycling and Waste Sorting
- EXP-019 performance
- Available model files
- Experiment results
- Quick start
- Intended use
- Datasets
- Limitations
- License
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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
Jeremy341/MIRA-AI is a object-detection model repository published by Jeremy341 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)
- 1,988
- Cumulative likes
- 2
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-07-22T10:46:25.000Z
- Last modified
- 2026-08-21T15:56:39.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Ultralytics/YOLO11
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.
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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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