COCO-Stuff dataset for huggingface datasets
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Updated
Dec 9, 2022 - Python
COCO-Stuff dataset for huggingface datasets
The Jakarnotator is an annotation tool to create your own database for instance segmentation problem.
A deep-learning object detection project pre-trained on COCO dataset
Trident Pyramid Networks for Object Detection (BMVC 2022)
A simple Python API (built on top of TensorFlow) for neural image captioning with MSCOCO data.
COCOA: Semantic Amodal Segmentation for huggingface datasets
Encoder-Decoder CNN-LSTM Model with an attention mechanism for image captioning. Trained using the Microsoft COCO Dataset.
Show, Attend, and Tell. Modified to use on UIT-ViIC dataset.
FQDet: Fast-converging Query-based Detector
[KDD 2024] Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning
Microsoft COCO: Common Objects in Context for huggingface datasets
A helper library for easily converting MSCOCO format data using the loading script of huggingface datasets.
Object Detection Dataset Format Converter
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
MSCOCO data format details and how to evaluate mAP with pycocotools
LabelMe to MsCOCO, PascalVOC, Yolo
An ongoing research project on image entropy assessment using machine learning.
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