Tencent/tencent-ml-images resource

Health v2 · maintenance only

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Adoption not part of the score

3063 stars · 503 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Tencent ML-Images is the largest open-source multi-label image database, containing ~17.6M training and ~88.7K validation image URLs annotated across 11,166 categories. It also provides a ResNet-101 model pre-trained on this database that achieves 80.73% top-1 accuracy on ImageNet via transfer learning.

Use cases

• pretraining image classification models on a large multi-label dataset
• transfer learning for single-label image classification
• extracting image features with a pretrained ResNet-101
• training deep learning models on 11,166 image categories
• downloading large-scale image datasets from ImageNet and Open Images

When to choose

• you need a very large multi-label image dataset for pretraining
• you want a strong pretrained ResNet-101 checkpoint for transfer learning
• your research requires broad category coverage beyond ImageNet-1k

When to avoid

• you need a maintained pipeline on modern TensorFlow or PyTorch versions
• you cannot host or download tens of millions of images
• you need a small curated dataset for quick experiments

Facets

dataset · maturity maintenance

machine-learning computer-vision image-processing deep-learning computer-vision image-processing machine-learning deep-learning python image-dataset multi-label-classification resnet-101 tensorflow imagenet pretrained-model transfer-learning linux

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markdown · JSON · MCP: product_card(name="Tencent/tencent-ml-images")