Zero-Shot Image Classification
OpenCLIP
ONNX
English
clip
vision
aerial
drone
tracking
re-identification
Instructions to use llama-farm/llama-thunderdome-clip-aerial-vit-b16-v3-drone-fleet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use llama-farm/llama-thunderdome-clip-aerial-vit-b16-v3-drone-fleet with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:llama-farm/llama-thunderdome-clip-aerial-vit-b16-v3-drone-fleet') tokenizer = open_clip.get_tokenizer('hf-hub:llama-farm/llama-thunderdome-clip-aerial-vit-b16-v3-drone-fleet') - Notebooks
- Google Colab
- Kaggle
| epoch,time,train_loss,val_loss,val_recall@1_i2t,val_recall@1_t2i,lr | |
| 1,74.2,3.392101,2.830324,0.168490,0.175055,6.400000e-06 | |
| 2,148.9,2.990139,2.760507,0.188184,0.170678,9.973868e-06 | |
| 3,228.6,2.823381,2.754390,0.177243,0.188184,9.720278e-06 | |
| 4,307.7,2.701809,2.743762,0.212254,0.194748,9.209855e-06 | |
| 5,386.4,2.552440,2.786436,0.201313,0.188184,8.470371e-06 | |
| 6,462.4,2.398254,2.830706,0.210066,0.201313,7.542062e-06 | |
| 7,539.0,2.201203,2.991727,0.190372,0.194748,6.475438e-06 | |
| 8,614.9,2.015313,3.121355,0.185996,0.190372,5.328534e-06 | |
| 9,690.8,1.856791,3.281529,0.192560,0.194748,4.163755e-06 | |
| 10,767.2,1.723562,3.393405,0.192560,0.177243,3.044476e-06 | |
| 11,843.1,1.635045,3.452135,0.177243,0.188184,2.031599e-06 | |
| 12,919.0,1.579813,3.499683,0.181619,0.185996,1.180234e-06 | |
| 13,995.6,1.518687,3.535074,0.172867,0.185996,5.367050e-07 | |
| 14,1071.5,1.489815,3.550933,0.175055,0.183807,1.360266e-07 | |
| 15,1147.2,1.476328,3.555011,0.177243,0.190372,0.000000e+00 | |