데이터셋 탐색

The SYNTHIA dataset is a synthetic dataset that consists of 9400 multi-viewpoint photo-realistic frames rendered from a virtual city and comes with pixel-level semantic annotations for 13 classes. Each frame has resolution of 1280 × 960. Source: Orientation-aware Semantic Segmentation on Icosahedron Spheres Image Source: https://synthia-dataset.net/

Synthia-Seq contains 8,000 photo-realistic frames with dense segmentation labels. We often employ video frames in the RGB folder and choose 11 categories common with Cityscapes-Seq for domain adaptation.

Specially designed to evaluate active learning for video object detection in road scenes. Source: Temporal Coherence for Active Learning in Videos

SYNTHIA-PANO is the panoramic version of SYNTHIA dataset. Five sequences are included: Seqs02-summer, Seqs02-fall, Seqs04-summer, Seqs04-fall and Seqs05-summer. Panomaramic images with fine annotation for semantic segmentation. Source: SYNTHIA-PANO Image Source: https://github.com/Francis515/SYNTHIA-PANO