Social Media and its Effects on Mental Health

There is no doubt that varioussocial media platforms have transformed the new generation. The social media has resulted in the transformation of not only how this generation communicates, but has also transformed business, education and above all, the entertainment. Not only that the social media has made a lot of positive impacts on the human life, it has a lot of negative impacts on all age group as well, especially the youth. Addiction of social media is in trend and is a major contributing factor to rapid increase in several mental health issues. Some of the examples of the issues arising from the excessive use of social media that are on rise include: disturbed circadian rhythm, sleep disorders, reproductive health, phantom vibration, and ringing syndrome. Therefore, thisstudy surveyed the extent to which the mental health is being hampered by excessive use ofsocial media. This study was conducted in two stages surveying 263 participants from India, Russia, Nepal, Ukraine, Kazakhstan, and Georgia. A questionnaire was used as a research instrument, which was sent to the random respondents to study their indulgence in social media. Findings from these responses showed that the mental health issues are associated to the social media usage. Therefore, stakeholders must take remedial action to prevent rampancy of social media usage. From the study conducted, the effects of the social media are not only taking toll on the social life, life style, and physical heath of the users but, also over their mental health. There are urgent needs to take immediate remedial measures to counter this growing menace in the society

BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes

Automatic recognition of bird behavior from long-term, un controlled outdoor imagery can contribute to conservation efforts by enabling large-scale monitoring of bird populations. Current techniques in AI-based wildlife monitoring have focused on short-term tracking and monitoring birds individually rather than in species-rich flocks. We present Bird-Collect, a comprehensive benchmark dataset for monitoring dense bird flock attributes. It includes a unique collection of more than 6,000 high-resolution images of Demoiselle Cranes (Anthropoides virgo) feeding and nesting in the vicinity of Khichan region of Rajasthan. Particularly, each image contains an average of 190 individual birds, illustrating the complex dynamics of densely populated bird flocks on a scale that has not previously been studied. In addition, a total of 433 distinct pictures captured at Keoladeo National Park, Bharatpur provide a comprehensive representation of 34 distinct bird species belonging to various taxonomic groups. These images offer details into the diversity and the behaviour of birds in vital natural ecosystem along the migratory flyways. Additionally, we provide a set of 2,500 point-annotated samples which serve as ground truth for benchmarking various computer vision tasks like crowd counting, density estimation, segmentation, and species classification. The benchmark performance for these tasks highlight the need for tailored approaches for specific wildlife applications, which include varied conditions including views, illumination, and resolutions. With around 46.2 GBs in size encompassing data collected from two distinct nesting ground sets, it is the largest birds dataset containing detailed annotations, showcasing a substantial leap in bird research possibilities. We intend to publicly release the dataset to the research community. The database is available at: https://iab-rubric.org/resources/wildlife-dataset/birdcollec