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README.md
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---
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Achieved 72% accuracy for a validation dataset for classifying 80 types of common Indian food.
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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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---
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Achieved 72% accuracy for a validation dataset for classifying 80 types of common Indian food.
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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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```
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Classification report:
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precision recall f1-score support
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adhirasam 0.0000 0.0000 0.0000 20
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aloo_gobi 0.0000 0.0000 0.0000 20
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aloo_matar 0.0000 0.0000 0.0000 20
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aloo_methi 0.0714 0.0500 0.0588 20
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aloo_shimla_mirch 0.0000 0.0000 0.0000 20
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aloo_tikki 0.0000 0.0000 0.0000 20
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anarsa 0.0256 0.0500 0.0339 20
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ariselu 0.0000 0.0000 0.0000 20
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bandar_laddu 0.0000 0.0000 0.0000 20
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basundi 0.0566 0.1500 0.0822 20
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bhatura 0.0149 0.0500 0.0230 20
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bhindi_masala 0.0000 0.0000 0.0000 20
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biryani 0.0000 0.0000 0.0000 20
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boondi 0.0000 0.0000 0.0000 20
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butter_chicken 0.0000 0.0000 0.0000 20
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chak_hao_kheer 0.0000 0.0000 0.0000 20
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cham_cham 0.0000 0.0000 0.0000 20
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chana_masala 0.1818 0.4000 0.2500 20
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chapati 0.0000 0.0000 0.0000 20
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chhena_kheeri 0.0000 0.0000 0.0000 20
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chicken_razala 0.1429 0.2500 0.1818 20
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chicken_tikka 0.0769 0.1000 0.0870 20
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chicken_tikka_masala 0.0000 0.0000 0.0000 20
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chikki 0.0000 0.0000 0.0000 20
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daal_baati_churma 0.0000 0.0000 0.0000 20
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daal_puri 0.0000 0.0000 0.0000 20
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dal_makhani 0.0606 0.3000 0.1008 20
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dal_tadka 0.0312 0.1000 0.0476 20
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dharwad_pedha 0.0000 0.0000 0.0000 20
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doodhpak 0.0000 0.0000 0.0000 20
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double_ka_meetha 0.1053 0.1000 0.1026 20
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dum_aloo 0.0000 0.0000 0.0000 20
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gajar_ka_halwa 0.1481 0.2000 0.1702 20
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gavvalu 0.0000 0.0000 0.0000 20
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ghevar 0.0000 0.0000 0.0000 20
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gulab_jamun 0.0000 0.0000 0.0000 20
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imarti 0.0000 0.0000 0.0000 20
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jalebi 0.0000 0.0000 0.0000 20
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kachori 0.0000 0.0000 0.0000 20
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kadai_paneer 0.0000 0.0000 0.0000 20
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kadhi_pakoda 0.0000 0.0000 0.0000 20
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kajjikaya 0.0588 0.0500 0.0541 20
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kakinada_khaja 0.0000 0.0000 0.0000 20
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kalakand 0.0000 0.0000 0.0000 20
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karela_bharta 0.0000 0.0000 0.0000 20
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kofta 0.0000 0.0000 0.0000 20
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kuzhi_paniyaram 0.0000 0.0000 0.0000 20
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lassi 0.0000 0.0000 0.0000 20
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ledikeni 0.0000 0.0000 0.0000 20
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litti_chokha 0.0000 0.0000 0.0000 20
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lyangcha 0.0000 0.0000 0.0000 20
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maach_jhol 0.0400 0.0500 0.0444 20
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makki_di_roti_sarson_da_saag 0.0000 0.0000 0.0000 20
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malapua 0.0000 0.0000 0.0000 20
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misi_roti 0.0980 0.5000 0.1639 20
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misti_doi 0.0270 0.0500 0.0351 20
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modak 0.0000 0.0000 0.0000 20
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mysore_pak 0.0000 0.0000 0.0000 20
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naan 0.0000 0.0000 0.0000 20
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navrattan_korma 0.0000 0.0000 0.0000 20
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palak_paneer 0.0000 0.0000 0.0000 20
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paneer_butter_masala 0.0000 0.0000 0.0000 20
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phirni 0.0000 0.0000 0.0000 20
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pithe 0.0000 0.0000 0.0000 20
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poha 0.0000 0.0000 0.0000 20
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poornalu 0.0000 0.0000 0.0000 20
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pootharekulu 0.0000 0.0000 0.0000 20
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qubani_ka_meetha 0.0000 0.0000 0.0000 20
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rabri 0.0000 0.0000 0.0000 20
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ras_malai 0.0000 0.0000 0.0000 20
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rasgulla 0.0556 0.2500 0.0909 20
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sandesh 0.0000 0.0000 0.0000 20
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shankarpali 0.0000 0.0000 0.0000 20
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sheer_korma 0.0000 0.0000 0.0000 20
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sheera 0.0526 0.0500 0.0513 20
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shrikhand 0.0000 0.0000 0.0000 20
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sohan_halwa 0.0000 0.0000 0.0000 20
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sohan_papdi 0.0000 0.0000 0.0000 20
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sutar_feni 0.0000 0.0000 0.0000 20
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unni_appam 0.1304 0.3000 0.1818 20
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accuracy 0.0375 1600
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macro avg 0.0172 0.0375 0.0220 1600
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weighted avg 0.0172 0.0375 0.0220 1600
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```
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