Pinned Repositories
CatsDogs
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
detr-vision
https://github.com/RustamyF/detr-vision/fork
EdjeElectronics_RaspberryPi_TFlite
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
examples
TensorFlow examples
GroundingDINO
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.
mAP
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
netron
Visualizer for neural network, deep learning and machine learning models
robotics_transformer1
elvenkim1's Repositories
elvenkim1/CatsDogs
elvenkim1/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
elvenkim1/detr-vision
https://github.com/RustamyF/detr-vision/fork
elvenkim1/EdjeElectronics_RaspberryPi_TFlite
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
elvenkim1/examples
TensorFlow examples
elvenkim1/GroundingDINO
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
elvenkim1/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.
elvenkim1/mAP
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
elvenkim1/netron
Visualizer for neural network, deep learning and machine learning models
elvenkim1/robotics_transformer1
elvenkim1/rpi5-yolov8-custom
elvenkim1/tensorflow
elvenkim1/tesnorflow
elvenkim1/TFLite-Object-Detection-Android-App-Tutorial-Using-YOLOv5
Arohi TFLite Object Detection Android App Tutorial Using YOLOv5 | Yolov5 to tflite conversion
elvenkim1/TFMini
elvenkim1/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
elvenkim1/YOLO-World
Real-Time Open-Vocabulary Object Detection
elvenkim1/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
elvenkim1/YOLOv8
elvenkim1/Zero-Shot-Learning
Classifying unseen food dishes using Zero-shot learning achieving a Top-5 accuracy of 91%.
elvenkim1/zero-shot-object-tracking
Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.