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bhumika-tewari-282006
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assistive-ocr-benchmark-results

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ocr
benchmark
assistive-technology
multilingual
wearable
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Add real 3-engine (Tesseract/EasyOCR/PaddleOCR) benchmark results, ground-truth manifest, and Kaggle reproduction guide

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  1. README.md +121 -0
  2. manual100_final.csv +100 -0
  3. phase4_engine_comparison.json +0 -0
README.md ADDED
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+ ---
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+ license: cc-by-sa-4.0
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+ task_categories:
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+ - image-to-text
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+ language:
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+ - en
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+ - bn
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+ - hi
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+ tags:
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+ - ocr
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+ - benchmark
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+ - assistive-technology
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+ - multilingual
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+ - wearable
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+ pretty_name: Assistive OCR Wearable Module — Engine Benchmark Results
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # Assistive OCR — Benchmark Results
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+
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+ Real, reproducible benchmark results for the assistive OCR wearable module (offline, multilingual — English, Bengali+English, Hindi+English). This repository holds **results and the ground-truth manifest**, not the source images themselves — the manually-verified image set they were computed from is published separately at [`Arko007/assistive-ocr-data-acquisition`](https://huggingface.co/datasets/Arko007/assistive-ocr-data-acquisition) (folder `manual_verification_99/`), so this repository's numbers can always be traced back to the exact images that produced them.
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+
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+ ## What's in this repository
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+
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+ | File | What it is |
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+ |---|---|
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+ | `manual100_final.csv` | The 99-row ground-truth manifest: `id`, `image_path`, `language_profile`, `domain`, `manual_transcript` (each transcript individually re-checked by hand, not auto-generated) |
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+ | `phase4_engine_comparison.json` | Full per-image, per-engine results for an isolated (no cross-engine fallback) comparison of **Tesseract**, **EasyOCR**, and **PaddleOCR** against every row in the manifest |
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+
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+ ## Headline results
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+
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+ Isolated per-engine comparison across all 99 manually-verified images (lenient pass = at least one clinically/contextually meaningful word correctly recovered):
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+
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+ | Engine | Attempted | Pass rate | Mean keyword recall | Bengali support |
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+ |---|---|---|---|---|
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+ | Tesseract | 99/99 | 71.7% | 43.2% | Yes |
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+ | EasyOCR | 99/99 | 91.9% | 62.7% | Yes |
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+ | PaddleOCR | 65/99 (34 skipped) | 90.8% (of attempted) | 72.5% (of attempted) | **No** |
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+
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+ **Conclusion:** EasyOCR remains the primary engine and Tesseract the confidence-gated fallback. PaddleOCR cannot process Bengali+English at all (no Bengali in its published model matrix), and even restricted to the languages it does support, it does not meaningfully outperform EasyOCR — so it was evaluated but not adopted. Full reasoning and the fair same-language-subset comparison are in the project's `PROJECT_STATUS.md` (2026-07-31 entry) and `docs/PROJECT_REPORT.md` in the main code repository.
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+
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+ ## Reproducing this benchmark yourself on Kaggle
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+
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+ You don't need your own computer to be powerful for this — Kaggle gives you a free notebook with everything already installed. Here's the simplest path, in order.
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+
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+ ### Step 1 — Start a new Kaggle notebook
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+
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+ Go to [kaggle.com/code](https://www.kaggle.com/code) → **New Notebook**. In the right-hand sidebar, turn on **Internet** (Settings → Internet → On) so the notebook can install packages and clone the code.
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+
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+ ### Step 2 — Add this dataset and the image dataset as notebook inputs
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+
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+ Click **Add Input** (top right) and add:
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+ 1. This dataset (`manual100_final.csv`)
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+ 2. `Arko007/assistive-ocr-data-acquisition` (the actual images)
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+
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+ They'll appear under `/kaggle/input/` once added.
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+
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+ ### Step 3 — Install the OCR engines (one notebook cell)
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+
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+ ```bash
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+ !apt-get -qq update && apt-get -qq install -y tesseract-ocr tesseract-ocr-ben tesseract-ocr-hin
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+ !pip install -q "assistive-ocr[tesseract,easyocr] @ git+https://github.com/Bhumika2006-hue/ocr-wearable-module.git"
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+ ```
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+
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+ ### Step 4 — Point the manifest at the real image paths (one notebook cell)
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+
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+ The manifest's `image_path` column is relative (e.g. `hf_medicines/...`); this cell rewrites it to the actual Kaggle input location so the benchmark can find each image:
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+
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+ ```python
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+ import csv, pathlib
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+
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+ IMAGE_ROOT = pathlib.Path("/kaggle/input/assistive-ocr-data-acquisition/manual_verification_99/images")
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+ MANIFEST_IN = "/kaggle/input/<this-dataset-slug>/manual100_final.csv"
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+ MANIFEST_OUT = "/kaggle/working/manifest.csv"
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+
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+ rows = list(csv.DictReader(open(MANIFEST_IN, encoding="utf-8")))
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+ for row in rows:
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+ row["image_path"] = str(IMAGE_ROOT / pathlib.Path(row["image_path"]).name)
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+
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+ with open(MANIFEST_OUT, "w", newline="", encoding="utf-8") as f:
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+ writer = csv.DictWriter(f, fieldnames=rows[0].keys())
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+ writer.writeheader()
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+ writer.writerows(rows)
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+
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+ print(f"Wrote {len(rows)} rows to {MANIFEST_OUT}")
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+ ```
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+
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+ Replace `<this-dataset-slug>` with whatever Kaggle names this dataset once you've added it as an input (visible in the `/kaggle/input/` path shown in the notebook's file browser).
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+
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+ ### Step 5 — Run the benchmark (one notebook cell per engine)
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+
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+ ```bash
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+ !assistive-ocr-benchmark /kaggle/working/manifest.csv --engine tesseract --output /kaggle/working/tesseract_results.json
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+ !assistive-ocr-benchmark /kaggle/working/manifest.csv --engine easyocr --output /kaggle/working/easyocr_results.json
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+ ```
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+
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+ (Add `--engine paddleocr` too if you also want to reproduce the PaddleOCR comparison — it needs one extra install: `!pip install -q paddlepaddle==2.6.2 paddleocr==2.7.3 "numpy<2"` before running.)
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+
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+ ### Step 6 — Look at the results
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+
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+ ```python
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+ import json
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+
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+ for name in ("tesseract", "easyocr"):
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+ data = json.load(open(f"/kaggle/working/{name}_results.json"))
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+ print(name, "->", data["summary"])
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+ ```
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+
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+ Each engine's run produces per-image records plus a `summary` broken down by `language_profile::domain` (word/character error rate, exact-match rate, keyword recall, latency, calibration error). Compare this against the headline table above — it should reproduce those numbers, since both were run from the exact same manifest and images.
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+
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+ ### If something doesn't match
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+
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+ - Different Tesseract/EasyOCR versions than the ones the project pinned can shift numbers slightly (a percentage point or two) — this is expected, not a bug.
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+ - If a row errors out instead of producing a number, check that Step 4 actually found the image files (`print(rows[0])` after loading the manifest to sanity-check a resolved path exists with `pathlib.Path(...).exists()`).
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+ - The full setup/troubleshooting guide (for running the whole assistive OCR app, not just this benchmark) is in `docs/SETUP_GUIDE.md` in the main code repository.
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+
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+ ## Links
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+
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+ - Main code repository: [Bhumika2006-hue/ocr-wearable-module](https://github.com/Bhumika2006-hue/ocr-wearable-module)
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+ - Source images this benchmark was computed from: [`Arko007/assistive-ocr-data-acquisition`](https://huggingface.co/datasets/Arko007/assistive-ocr-data-acquisition)
manual100_final.csv ADDED
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+ id,image_path,language_profile,domain,manual_transcript
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+ hf_lircetam_500_tablet,hf_medicines/hf_hf_lircetam_500_tablet_4964.jpg,hi+en,medicine_packaging,Levetiracetam Tablets IP Lircetam 500 Leeford 1x10 Tablets
70
+ hf_anaflam_th__4__tablet,hf_medicines/hf_hf_anaflam_th__4__tablet_351.jpg,hi+en,medicine_packaging,Paracetamol Aceclofenac Thiocolchicoside Tablets Anaflam TH4 Albert David 5x2x10 Tablets
71
+ hf_lipicard_av_tablet,hf_medicines/hf_hf_lipicard_av_tablet_4624.jpg,hi+en,medicine_packaging,Atorvastatin 10mg Fenofibrate 160mg Tablets Lipicard AV USV 10x10 Tablets
72
+ hf_fusiderm_ointment,hf_medicines/hf_hf_fusiderm_ointment_2629.jpg,hi+en,medicine_packaging,Sodium Fusidate Ointment BP Fusiderm Antibiotic Ointment 2.0% w/w 10g
73
+ hf_dezacor_oral_suspension,hf_medicines/hf_hf_dezacor_oral_suspension_1538.jpg,hi+en,medicine_packaging,Deflazacort Oral Suspension 6mg Dezacor 30ml
74
+ hf_aziwok_xl_200_liquid,hf_medicines/hf_hf_aziwok_xl_200_liquid_588.jpg,hi+en,medicine_packaging,Azithromycin Oral Suspension IP 200mg Aziwok XL 200 Liquid Wockhardt Refreshing Mango Flavour
75
+ syn_medicine_packaging_hi_4,synthetic/syn_medicine_packaging_hi_4.png,hi+en,medicine_packaging,Cetirizine 10mg Tablet
76
+ hf_betaloc_25mg_tablet,hf_medicines/hf_hf_betaloc_25mg_tablet_1183.jpg,hi+en,medicine_packaging,Metoprolol Tartrate Tablets IP Betaloc 25mg AstraZeneca
77
+ hf_ledovanc_500_injection,hf_medicines/hf_hf_ledovanc_500_injection_4928.jpg,hi+en,medicine_packaging,Vancomycin Hydrochloride for Intravenous Infusion IP 500mg Ledovanc 500 Celon Labs Powder for Injection
78
+ hf_liquid_parafin,hf_medicines/hf_hf_liquid_parafin_4406.jpg,hi+en,medicine_packaging,Liquid Paraffin Heavy Dose 10 to 30ml Agrawal Drugs
79
+ hf_defelax_syrup,hf_medicines/hf_hf_defelax_syrup_1675.jpg,hi+en,medicine_packaging,Lactitol Monohydrate Syrup 66.67% w/v Defelax 150ml Orange Flavour
80
+ hf_lozivate_cream,hf_medicines/hf_hf_lozivate_cream_4567.jpg,hi+en,medicine_packaging,Clobetasol Cream IP Lozivate 30g
81
+ hf_flumet_1__soap,hf_medicines/hf_hf_flumet_1__soap_2684.jpg,hi+en,medicine_packaging,Fluconazole Soap Flumet Medicated Soap 75g Leeford
82
+ hf_debistal_gm_2_tablet_er,hf_medicines/hf_hf_debistal_gm_2_tablet_er_1452.jpg,hi+en,medicine_packaging,Glimepiride Pioglitazone Metformin Hydrochloride Extended release Tablets Debistal GM 2 Leeford 1x10 Tablets
83
+ hf_lysoflam_tablet,hf_medicines/hf_hf_lysoflam_tablet_4258.jpg,hi+en,medicine_packaging,Diclofenac Potassium Paracetamol Trypsin Chymotrypsin Tablets LysoFlam
84
+ hf_luprodex_depot_3_75mg_injection,hf_medicines/hf_hf_luprodex_depot_3_75mg_injection_4401.jpg,hi+en,medicine_packaging,Leuprolide Acetate for Injection 3.75mg Depot Luprodex 1 month Depot Lyophilized Bharat Serums and Vaccines Limited
85
+ hf_lysoflam_tablet,hf_medicines/hf_hf_lysoflam_tablet_4258.jpg,hi+en,medicine_packaging,Diclofenac Potassium Paracetamol Trypsin Chymotrypsin Tablets LysoFlam
86
+ hf_glz_plus_tablet,hf_medicines/hf_hf_glz_plus_tablet_2908.jpg,hi+en,medicine_packaging,Gliclazide Metformin Hydrochloride Tablets GLZ PLUS Alembic
87
+ hf_ldio_1_m_5mg_10mg_tablet,hf_medicines/hf_hf_ldio_1_m_5mg_10mg_tablet_4424.jpg,hi+en,medicine_packaging,Montelukast Sodium Levocetirizine Hydrochloride Tablets IP L DIO 1 M Unison
88
+ hf_loy_d3_capsule,hf_medicines/hf_hf_loy_d3_capsule_4634.jpg,hi+en,medicine_packaging,Cholecalciferol Capsule USP LoyD3 60K Lloyd
89
+ hf_hh_linctus_ls_expectorant,hf_medicines/hf_hf_hh_linctus_ls_expectorant_3466.jpg,hi+en,medicine_packaging,Ambroxol Hydrochloride HH Linctus LS Bronchodilator Mucolytic For Productive Cough 100ml
90
+ hf_levosiz_m_tablet,hf_medicines/hf_hf_levosiz_m_tablet_4276.jpg,hi+en,medicine_packaging,Montelukast Sodium Levocetirizine Hydrochloride Tablets IP 10mg 5mg Levosiz M Systopic 10x15 Tablets
91
+ hf_lornoxi_p_tablet,hf_medicines/hf_hf_lornoxi_p_tablet_4803.jpg,hi+en,medicine_packaging,Lornoxicam 8mg and Paracetamol 325mg Tablets Lornoxi P Hetero Healthcare
92
+ of_8902080000227,openfoodfacts/of_8902080000227.jpg,en,packaged_goods,Sting Energy
93
+ of_8901030897542,openfoodfacts/of_8901030897542.jpg,en,packaged_goods,Kissan Fresh Tomato Ketchup
94
+ of_8901262040525,openfoodfacts/of_8901262040525.jpg,bn+en,packaged_goods,Amul Shrikhand Delight
95
+ of_3017620425035,openfoodfacts/of_3017620425035.jpg,bn+en,packaged_goods,Nutella 1000G
96
+ of_7622202334009,openfoodfacts/of_7622202334009.jpg,bn+en,packaged_goods,Cadbury Dairy Milk
97
+ syn_packaged_goods_hi_0,synthetic/syn_packaged_goods_hi_0.png,hi+en,packaged_goods,Health Supplement
98
+ syn_signage_en_4,synthetic/syn_signage_en_4.png,en,signage,Eye Care Center
99
+ syn_signage_bn_0,synthetic/syn_signage_bn_0.png,bn+en,signage,Pharmacy
100
+ syn_signage_hi_0,synthetic/syn_signage_hi_0.png,hi+en,signage,Pharmacy
phase4_engine_comparison.json ADDED
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