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dima806
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indian_food_image_detection

Image Classification
Transformers
PyTorch
Safetensors
vit
Inference Endpoints
Model card Files Community
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@@ -7,95 +7,95 @@ Achieved 75% accuracy for a validation dataset for classifying 80 types of commo
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  See [my Kaggle notebook](https://www.kaggle.com/code/dima806/indian-food-image-detection-vit) for more details.
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/kxYPpVt28p4J1OzKFSoT5.png)
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  ```
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  Classification report:
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  precision recall f1-score support
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- adhirasam 0.9231 0.6000 0.7273 20
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- aloo_gobi 0.8667 0.6500 0.7429 20
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- aloo_matar 0.7826 0.9000 0.8372 20
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- aloo_methi 0.7143 1.0000 0.8333 20
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- aloo_shimla_mirch 0.7143 0.7500 0.7317 20
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- aloo_tikki 1.0000 0.8000 0.8889 20
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- anarsa 1.0000 0.5000 0.6667 20
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- ariselu 0.6897 1.0000 0.8163 20
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- bandar_laddu 0.7727 0.8500 0.8095 20
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- basundi 0.2687 0.9000 0.4138 20
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- bhatura 0.6552 0.9500 0.7755 20
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- bhindi_masala 0.8333 1.0000 0.9091 20
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- biryani 0.9091 1.0000 0.9524 20
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  boondi 0.9474 0.9000 0.9231 20
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  butter_chicken 0.4419 0.9500 0.6032 20
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- chak_hao_kheer 0.9444 0.8500 0.8947 20
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- cham_cham 1.0000 0.3000 0.4615 20
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- chana_masala 0.9091 1.0000 0.9524 20
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- chapati 0.7600 0.9500 0.8444 20
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  chhena_kheeri 0.0000 0.0000 0.0000 20
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- chicken_razala 0.7727 0.8500 0.8095 20
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- chicken_tikka 0.8462 0.5500 0.6667 20
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- chicken_tikka_masala 0.7000 0.3500 0.4667 20
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- chikki 0.7037 0.9500 0.8085 20
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- daal_baati_churma 0.7500 0.7500 0.7500 20
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- daal_puri 1.0000 0.4500 0.6207 20
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- dal_makhani 0.8636 0.9500 0.9048 20
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- dal_tadka 0.5758 0.9500 0.7170 20
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- dharwad_pedha 0.9333 0.7000 0.8000 20
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  doodhpak 0.6667 0.1000 0.1739 20
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- double_ka_meetha 0.8571 0.9000 0.8780 20
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- dum_aloo 0.7857 0.5500 0.6471 20
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  gajar_ka_halwa 0.8000 1.0000 0.8889 20
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- gavvalu 0.8889 0.8000 0.8421 20
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- ghevar 1.0000 0.8500 0.9189 20
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- gulab_jamun 0.5758 0.9500 0.7170 20
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- imarti 0.7917 0.9500 0.8636 20
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- jalebi 0.9444 0.8500 0.8947 20
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- kachori 0.8333 0.7500 0.7895 20
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  kadai_paneer 0.6923 0.9000 0.7826 20
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- kadhi_pakoda 0.8182 0.9000 0.8571 20
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- kajjikaya 0.9444 0.8500 0.8947 20
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- kakinada_khaja 0.7895 0.7500 0.7692 20
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- kalakand 0.8571 0.6000 0.7059 20
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- karela_bharta 1.0000 0.1000 0.1818 20
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- kofta 0.8824 0.7500 0.8108 20
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- kuzhi_paniyaram 0.7500 0.9000 0.8182 20
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- lassi 0.7600 0.9500 0.8444 20
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- ledikeni 0.8000 0.4000 0.5333 20
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- litti_chokha 0.9412 0.8000 0.8649 20
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- lyangcha 0.8235 0.7000 0.7568 20
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- maach_jhol 0.8889 0.8000 0.8421 20
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- makki_di_roti_sarson_da_saag 0.9091 1.0000 0.9524 20
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- malapua 0.9375 0.7500 0.8333 20
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- misi_roti 0.9474 0.9000 0.9231 20
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- misti_doi 0.6250 0.7500 0.6818 20
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- modak 0.8947 0.8500 0.8718 20
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- mysore_pak 0.7500 0.9000 0.8182 20
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- naan 0.9524 1.0000 0.9756 20
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- navrattan_korma 0.9091 0.5000 0.6452 20
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- palak_paneer 0.8947 0.8500 0.8718 20
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- paneer_butter_masala 0.7778 0.7000 0.7368 20
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- phirni 0.5238 0.5500 0.5366 20
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  pithe 1.0000 0.2500 0.4000 20
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- poha 0.7143 1.0000 0.8333 20
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- poornalu 0.7308 0.9500 0.8261 20
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- pootharekulu 0.9091 1.0000 0.9524 20
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- qubani_ka_meetha 1.0000 0.5500 0.7097 20
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  rabri 0.0000 0.0000 0.0000 20
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- ras_malai 0.5926 0.8000 0.6809 20
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- rasgulla 0.4545 1.0000 0.6250 20
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- sandesh 0.6667 0.3000 0.4138 20
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- shankarpali 0.8696 1.0000 0.9302 20
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- sheer_korma 0.5000 0.7000 0.5833 20
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- sheera 0.9231 0.6000 0.7273 20
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- shrikhand 0.6875 0.5500 0.6111 20
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- sohan_halwa 1.0000 0.4500 0.6207 20
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- sohan_papdi 0.5758 0.9500 0.7170 20
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- sutar_feni 0.9000 0.9000 0.9000 20
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- unni_appam 0.6207 0.9000 0.7347 20
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- accuracy 0.7513 1600
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- macro avg 0.7829 0.7513 0.7339 1600
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- weighted avg 0.7829 0.7512 0.7339 1600
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  ```
 
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  See [my Kaggle notebook](https://www.kaggle.com/code/dima806/indian-food-image-detection-vit) for more details.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/s8tU9m3FfY34jZqNOSluO.png)
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  ```
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  Classification report:
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  precision recall f1-score support
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+ adhirasam 0.9412 0.8000 0.8649 20
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+ aloo_gobi 0.7857 0.5500 0.6471 20
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+ aloo_matar 0.8500 0.8500 0.8500 20
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+ aloo_methi 0.7407 1.0000 0.8511 20
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+ aloo_shimla_mirch 0.7619 0.8000 0.7805 20
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+ aloo_tikki 1.0000 0.7500 0.8571 20
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+ anarsa 1.0000 0.7000 0.8235 20
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+ ariselu 0.7692 1.0000 0.8696 20
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+ bandar_laddu 0.8333 0.7500 0.7895 20
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+ basundi 0.2254 0.8000 0.3516 20
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+ bhatura 0.7600 0.9500 0.8444 20
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+ bhindi_masala 0.8636 0.9500 0.9048 20
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+ biryani 0.8571 0.9000 0.8780 20
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  boondi 0.9474 0.9000 0.9231 20
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  butter_chicken 0.4419 0.9500 0.6032 20
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+ chak_hao_kheer 0.9474 0.9000 0.9231 20
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+ cham_cham 1.0000 0.4000 0.5714 20
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+ chana_masala 0.7692 1.0000 0.8696 20
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+ chapati 0.7407 1.0000 0.8511 20
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  chhena_kheeri 0.0000 0.0000 0.0000 20
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+ chicken_razala 0.8000 1.0000 0.8889 20
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+ chicken_tikka 0.9091 0.5000 0.6452 20
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+ chicken_tikka_masala 0.7273 0.4000 0.5161 20
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+ chikki 0.7308 0.9500 0.8261 20
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+ daal_baati_churma 0.6957 0.8000 0.7442 20
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+ daal_puri 1.0000 0.3000 0.4615 20
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+ dal_makhani 0.8182 0.9000 0.8571 20
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+ dal_tadka 0.6552 0.9500 0.7755 20
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+ dharwad_pedha 1.0000 0.8000 0.8889 20
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  doodhpak 0.6667 0.1000 0.1739 20
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+ double_ka_meetha 0.7917 0.9500 0.8636 20
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+ dum_aloo 0.8462 0.5500 0.6667 20
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  gajar_ka_halwa 0.8000 1.0000 0.8889 20
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+ gavvalu 0.8095 0.8500 0.8293 20
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+ ghevar 1.0000 0.8000 0.8889 20
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+ gulab_jamun 0.5429 0.9500 0.6909 20
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+ imarti 0.8333 1.0000 0.9091 20
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+ jalebi 0.9474 0.9000 0.9231 20
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+ kachori 0.6364 0.7000 0.6667 20
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  kadai_paneer 0.6923 0.9000 0.7826 20
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+ kadhi_pakoda 0.8500 0.8500 0.8500 20
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+ kajjikaya 0.9412 0.8000 0.8649 20
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+ kakinada_khaja 0.8824 0.7500 0.8108 20
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+ kalakand 0.7692 0.5000 0.6061 20
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+ karela_bharta 1.0000 0.2000 0.3333 20
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+ kofta 0.9333 0.7000 0.8000 20
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+ kuzhi_paniyaram 0.6667 0.9000 0.7660 20
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+ lassi 0.8000 1.0000 0.8889 20
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+ ledikeni 0.5714 0.2000 0.2963 20
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+ litti_chokha 1.0000 0.8000 0.8889 20
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+ lyangcha 0.8947 0.8500 0.8718 20
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+ maach_jhol 0.9375 0.7500 0.8333 20
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+ makki_di_roti_sarson_da_saag 1.0000 0.8500 0.9189 20
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+ malapua 1.0000 0.7000 0.8235 20
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+ misi_roti 0.8571 0.9000 0.8780 20
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+ misti_doi 0.6364 0.7000 0.6667 20
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+ modak 0.7826 0.9000 0.8372 20
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+ mysore_pak 0.7917 0.9500 0.8636 20
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+ naan 0.9091 1.0000 0.9524 20
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+ navrattan_korma 0.9286 0.6500 0.7647 20
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+ palak_paneer 0.7917 0.9500 0.8636 20
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+ paneer_butter_masala 0.6667 0.7000 0.6829 20
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+ phirni 0.5500 0.5500 0.5500 20
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  pithe 1.0000 0.2500 0.4000 20
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+ poha 0.6786 0.9500 0.7917 20
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+ poornalu 0.9000 0.9000 0.9000 20
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+ pootharekulu 0.8636 0.9500 0.9048 20
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+ qubani_ka_meetha 1.0000 0.6500 0.7879 20
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  rabri 0.0000 0.0000 0.0000 20
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+ ras_malai 0.7083 0.8500 0.7727 20
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+ rasgulla 0.5263 1.0000 0.6897 20
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+ sandesh 0.6000 0.1500 0.2400 20
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+ shankarpali 0.8333 1.0000 0.9091 20
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+ sheer_korma 0.4643 0.6500 0.5417 20
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+ sheera 0.8667 0.6500 0.7429 20
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+ shrikhand 0.8000 0.6000 0.6857 20
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+ sohan_halwa 1.0000 0.5000 0.6667 20
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+ sohan_papdi 0.5556 1.0000 0.7143 20
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+ sutar_feni 0.8571 0.9000 0.8780 20
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+ unni_appam 0.5556 0.7500 0.6383 20
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+ accuracy 0.7519 1600
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+ macro avg 0.7813 0.7519 0.7352 1600
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+ weighted avg 0.7813 0.7519 0.7352 1600
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  ```