Mlearning.ai

FEBRUARY 18, 2024

"annotations": [ { "id": int, "image_id": int, "category_id": int, "segmentation": RLE or [polygon], "area": float, "bbox": [x, y, width, height], "iscrowd": 0 or 1 } ] Categories: Provides a comprehensive list of label categories used within the dataset. "categories":

Computer Vision 52

Computer Vision Machine Learning Algorithm ML 52

Viso.ai

MARCH 19, 2024

Its segmentation mechanism accommodates many objects, regardless of their categories. SAM excels in generating detailed masks for objects by interpreting various prompts for fine-grained segmentation across arbitrary categories. Grounded-SAM (B+H) scored the highest mAP in many categories, showcasing its superior ability to generalize.

Explainability 52

Explainability Computer Vision Machine Learning ChatGPT 52

Heartbeat

MARCH 1, 2023

The fourth layer then includes 10 categories to reflect the 10 sample images that are included in our dataset. The dataset’s form also reveals that we have 50,000 training samples, a 32 by 32 image, and that the third digit stands for the RGB channel. X_train.shape We check the test samples after examining the train sample shapes.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Auto-classification Categorization 52

Flipboard

JULY 31, 2023

Image classification involves assigning a label to an image from a predetermined set of categories. For instance, the machine learning model aims to accurately determine whether the image is of a cat, dog, or bird in an image classification task with those categories. So, what makes semantic segmentation unique?

Machine Learning 104

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 104

Viso.ai

FEBRUARY 25, 2023

Semantic segmentation performs pixel-level class labeling with a set of object categories (for example, people, trees, sky, cars) for all image pixels. Cityscapes include semantic and dense pixel annotations of 30 classes, grouped into 8 categories (flat surfaces, humans, vehicles, constructions, objects, nature, sky, and void).

Deep Learning 52

Deep Learning Computer Vision Convolutional Neural Networks Neural Network 52

Flipboard

AUGUST 1, 2023

One category of proposals deals with how AI systems interface with existing rules around copyright, privacy, and bias based on race, gender, sexual orientation, and disability. That — plus the sheer importance of an emerging technology like AI — makes it worth digging a little deeper into what action in DC might involve.

Explainability 119

Explainability Artificial Intelligence Artificial Intelligence AI 119