Make Sense alternatives for AI agents.

Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.

An open source library and framework for deep learning on satellite and aerial imagery.

Become a cracked AI/ML Research Engineer

[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

Images to inference with no labeling (use foundation models to train supervised models).

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

Perception toolkit for sim2real training and validation in Unity

YOLO ROS: Real-Time Object Detection for ROS

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler

ML-powered manga translator, written in Rust.

Deep Learning toolkit for Computer Vision.

Scenic: A Jax Library for Computer Vision Research and Beyond

A python library for self-supervised learning on images.