2D Object Detection for Autonomous Vehicles in India
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The data for this study uses real-time images taken by thecamera as well as those available in the public domain. Atotal of 2.4k images were collected. Efforts were put in bythe authors to make sure that the dataset was generalizedand consisted of multifarious images taken at different timesof the day and lighting conditions to make way for morerobust detection. Images were also selected to have a widevariety of vehicle models in different real-time scenarios. Allgiven classes unless mentioned otherwise are a mixture of acollection of scraped images from the web using a custompython script, taken from the Google V6 image repositoryor a collection of camera clicked pictures to bring diversity tothe database:• Car• Auto Rickshaw• Pedestrian*• Potholes• Bikes• Traffic LightAs the dataset is too large to publish, the res' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Object Detection"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The data for this study uses real-time images taken by thecamera as well as those available in the public domain. Atotal of 2.4k images were collected. Efforts were put in bythe authors to make sure that the dataset was generalizedand consisted of multifarious images taken at different timesof the day and lighting conditions to make way for morerobust detection. Images were also selected to have a widevariety of vehicle models in different real-time scenarios. Allgiven classes unless mentioned otherwise are a mixture of acollection of scraped images from the web using a custompython script, taken from the Google V6 image repositoryor a collection of camera clicked pictures to bring diversity tothe database:• Car• Auto Rickshaw• Pedestrian*• Potholes• Bikes• Traffic LightAs the dataset is too large to publish, the res' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The data for this study uses real-time images taken by thecamera as well as those available in the public domain. Atotal of 2.4k images were collected. Efforts were put in bythe authors to make sure that the dataset was generalizedand consisted of multifarious images taken at different timesof the day and lighting conditions to make way for morerobust detection. Images were also selected to have a widevariety of vehicle models in different real-time scenarios. Allgiven classes unless mentioned otherwise are a mixture of acollection of scraped images from the web using a custompython script, taken from the Google V6 image repositoryor a collection of camera clicked pictures to bring diversity tothe database:• Car• Auto Rickshaw• Pedestrian*• Potholes• Bikes• Traffic LightAs the dataset is too large to publish, the res
Object Detection