Introduced in the paper "Roboflow 100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models", RF100-VL is a large-scale collection of 100 multi-modal datasets with diverse concepts ...

AI progress spans GPT-3 to GPT-5, Claude-4, Gemini-2.5, yet breakthroughs lag. Industrial AI struggles due to isolated data and models locked behind platform APIs. Manual processes slow AI usage: ...

Abstract: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...

This documentation assumes basic familiarity with Bittensor concepts. For an introduction, please check out the docs: https://docs.bittensor.com/learn/bittensor ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...

In recent years, underwater object detection (UOD) has become a prominent research area in the computer vision community. However, existing UOD approaches are still vulnerable to underwater ...

Abstract: Currently, few-shot object detection (FSOD) methods for synthetic aperture radar (SAR) images are severely understudied. The high confidentiality and scarcity of SAR data, coupled with the ...