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01dwb2023 /brain-tumor-image-dataset-semantic-segmentation Dataset Card for "brain-tumor-image-dataset-semantic-segmentation" Dataset Description The Brain Tumor Image Dataset (BTID) for Semantic Segmentation contains MRI images and annotations aimed at training and evaluating segmentation models. This dataset was sourced from Kaggle and includes detailed segmentation masks indicating the presence and boundaries of brain tumors. This dataset can be used for developing and benchmarking algorithms for medical image segmentation… See the full description on the dataset page: https://huggingface.co/datasets/dwb2023/brain-tumor-image-dataset-semantic-segmentation.image1K<n<10K7 likes103 downloads2y agoHugging Face02NusaAksara /Image-to-Segmentation Segmentation Data Subset image_id: Refer to image_id on image_data subset segmentation_id: Segmentation identifier segmentation_information: COCO Format annotations: [[x1, y1, x2, y2, x3, y3, x4, y4]] image1K<n<10K2 likes34 downloads2y agoHugging Face03Project-AgML /image_safari_plant_part_segmentation Image Safari Plant Part Segmentation Plant-part segmentation of field photographs from the Image Safari project, a large crop image collection from sites across sub-Saharan Africa. In 1,361 smartphone images of 7 crops, QED annotators outlined individual leaves, stems (including banana pseudostems and suckers), flowers (buds, open flowers, inflorescences, panicles, spikes), fruits (pods, grains, tubers, capsules, banana bunches) and broadleaf/narrowleaf weeds in Roboflow. The… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/image_safari_plant_part_segmentation.imageobject-detection1K<n<10K2 likes26 downloads2d agoHugging Face04Project-AgML /image_safari_crop_weed_segmentation Image Safari Crop Weed Segmentation Crop and weed segmentation of field photographs from the Image Safari project, a large crop image collection from sites across sub-Saharan Africa. QED annotators outlined every crop plant and weed in 2,114 smartphone images of 16 crops (100-200 images per crop) in Roboflow, labelling each polygon as crop, broadleaf weed or narrowleaf weed (plus a handful of fruit/grain outlines). Each row has the image, a semantic mask (0 = background, then… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/image_safari_crop_weed_segmentation.imageobject-detection1K<n<10K0 likes20 downloads2d agoHugging Face05stevenbucaille /image-segmentation-models-datasettextn<1K0 likes15 downloads1y agoHugging Face06open-source-metrics /image-segmentation-checkpoint-downloadstabularn<1K0 likes11 downloads4y agoHugging Face

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