🔎 Exposing the Troublemakers in Described Object Detection
Новый, размеченный набор данных для обнаружения объектов.
🖥 Github: https://github.com/shikras/d-cube
🔗 Docs: https://github.com/shikras/d-cube/blob/main/doc.md
📕 Paper: https://arxiv.org/pdf/2307.12813.pdf
🔥 Dataset: https://paperswithcode.com/dataset/description-detection-dataset
bigdatai
Новый, размеченный набор данных для обнаружения объектов.
pip install ddd-datasetfrom d_cube import D3
d3 = D3(IMG_ROOT, PKL_ANNO_PATH)
all_img_ids = d3.get_img_ids() # get the image ids in the dataset
all_img_info = d3.load_imgs(all_img_ids) # load images by passing a list of some image ids
img_path = all_img_info[0]["file_name"] # obtain one image path so you can load it and inference
🔗 Docs: https://github.com/shikras/d-cube/blob/main/doc.md
🔥 Dataset: https://paperswithcode.com/dataset/description-detection-dataset
bigdatai