{"data":{"full_name":"kaushikjadhav01/Real-Time-Object-Detection-API-using-TensorFlow","name":"Real-Time-Object-Detection-API-using-TensorFlow","description":"A Transfer Learning based Object Detection API that detects all objects in an image, video or live webcam. An SSD model and a Faster R-CNN model was pretrained on Mobile net coco dataset along with a label map in Tensorflow. This model were used to detect objects captured in an image, video or real time webcam. Open CV was used for streaming objects and preprocessing.","stars":75.0,"forks":13.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"object-detection-implementations","last_pushed_at":"2020-06-27T07:57:20+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":9.0,"maturity_score":8.0,"community_score":17.0,"quality_score":34.0,"quality_tier":"emerging","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T17:28:28.839229+00:00"}}