AIOZ AI

Baseline source code for Road Accident Risk Prediction Challenge

DWPose is a whole-body pose estimation model that detects human keypoints across the body, face, and hands. It provides ONNX weights for efficient inference and is commonly used in human pose analysis and virtual try-on applications.

Speech Emotion Recognition with Wav2Vec2

InsectSAM is a fine-tuned version of Meta AI's segment-anything model, optimized for insect segmentation and monitoring in the Netherlands. Designed for use with the DIOPSIS camera systems, algorithms and datasets, it enhances the accuracy of insect biodiversity segmentation from complex backgrounds.

Classify images into 1,000 ImageNet categories with the compact TinyNet-A convolutional neural network.

Baseline source code for Handwritten Digit Recognition Challenge

Baseline source code for Wine Quality Classification Challenge

Baseline source code for Smoker Classification Challenge

Model for License Plate Recognition Challenge

QwQ-32B is a 32.5B-parameter causal reasoning model from the Qwen series, post-trained with supervised fine-tuning and reinforcement learning to think explicitly before answering. Despite its mid-range size, it delivers performance competitive with leading reasoning systems such as DeepSeek-R1 and o1-mini, particularly on hard math, coding, and multi-step problems. It supports a native 131,072-token context (with YaRN scaling for inputs beyond 8,192 tokens) and is best driven with non-greedy sampling (Temperature 0.6, TopP 0.95, TopK 20–40).

Dataset for Road Accident Risk Prediction Challenge

Dataset for Handwritten Digit Recognition Challenge

Dataset for Wine Quality Classification Challenge

Dataset for Smoker Classification Challenge

Dataset for License Plate Recognition Challenge