Tencent/tencent-ml-images
Tencent ML-Images provides a 17.6M-image multi-label dataset and a ResNet-101 model pre-trained on it, achieving 80.73% top-1 accuracy on ImageNet.
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This repository releases the Tencent ML-Images dataset, the largest open-source multi-label image database with 17.6M training and 88K validation images annotated across up to 11,166 categories. It includes a ResNet-101 model pre-trained on this dataset that achieves state-of-the-art transfer learning results on ImageNet. The project provides download scripts, training procedures using TensorFlow, and checkpoints for feature extraction and fine-tuning.
Frequently asked
- What is Tencent/tencent-ml-images?
- Tencent ML-Images provides a 17.6M-image multi-label dataset and a ResNet-101 model pre-trained on it, achieving 80.73% top-1 accuracy on ImageNet.
- Is tencent-ml-images open source?
- Yes — Tencent/tencent-ml-images is an open-source project tracked on heatdrop.
- What language is tencent-ml-images written in?
- Tencent/tencent-ml-images is primarily written in Python.
- How popular is tencent-ml-images?
- Tencent/tencent-ml-images has 3.1k stars on GitHub.
- Where can I find tencent-ml-images?
- Tencent/tencent-ml-images is on GitHub at https://github.com/Tencent/tencent-ml-images.