is36e/detr-resnet-50-sku110k
object-detection model by is36e
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Model card & documentation
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DEtection TRansformer (DETR) model trained end-to-end on SKU110K object detection (8k annotated images) dataset. Main difference compared to the original model is it having 400 numqueries and it being pretrained on SKU110K dataset. Here is how to use this model: This should output: Currently, both the feature extractor and model support PyTorch. The DETR model was trained on SKU110K Dataset, a dataset consisting of 8,219/588/2,936 annotated images for training/validation/test respectively. The model was trained for 140 epochs on 1 RTX 4060 Ti GPU(Finetuning decoder only) with batch size…
Read the full model card ↗ · Preview checked 2026-10-28T03:13:50.278Z
Inside the original model card — Document outline
- DETR (End-to-End Object Detection) model with ResNet-50 backbone trained on SKU110K Dataset with 400
- How to use
- Training data
- Training procedure
- Training
- Evaluation results
- Training Code
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
is36e/detr-resnet-50-sku110k is a object-detection model repository published by is36e 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)
- 1,532
- Cumulative likes
- 5
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 41,684,935
- Architecture
- DetrForObjectDetection
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2024-03-14T15:12:44.000Z
- Last modified
- 2024-12-21T07:52:22.000Z
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 2026-10-14T06:44:12.092Z. 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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