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00201/002017886.jpg | [
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00009/000093116.jpg | [
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00636/006366709.jpg | [
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00347/003472061.jpg | [
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00297/002972155.jpg | [
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00044/000448786.jpg | [
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00491/004915801.jpg | [
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00005/000054222.jpg | [
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00530/005301430.jpg | [
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00244/002448962.jpg | [
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00109/001095007.jpg | [
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00027/000275473.jpg | [
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00230/002306499.jpg | [
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00033/000338977.jpg | [
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00003/000033482.jpg | [
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00376/003761714.jpg | [
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00287/002879592.jpg | [
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00053/000536940.jpg | [
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00503/005032770.jpg | [
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00136/001365521.jpg | [
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00026/000267756.jpg | [
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00421/004211582.jpg | [
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00179/001792187.jpg | [
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00284/002846089.jpg | [
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00017/000176395.jpg | [
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00427/004271632.jpg | [
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00317/003174711.jpg | [
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00137/001377789.jpg | [
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00080/000803799.jpg | [
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00563/005633116.jpg | [
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00637/006378138.jpg | [
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00469/004694221.jpg | [
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00448/004488374.jpg | [
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00315/003155480.jpg | [
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00450/004504116.jpg | [
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00570/005702168.jpg | [
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00170/001708691.jpg | [
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00241/002416491.jpg | [
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00525/005251121.jpg | [
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00100/001009763.jpg | [
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00607/006073236.jpg | [
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00602/006029769.jpg | [
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00061/000615520.jpg | [
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00282/002829240.jpg | [
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00561/005610331.jpg | [
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00382/003827012.jpg | [
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00327/003270165.jpg | [
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00383/003832919.jpg | [
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00000/000001052.jpg | [
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00543/005431332.jpg | [
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00170/001702689.jpg | [
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00595/005955104.jpg | [
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00459/004599359.jpg | [
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00092/000923881.jpg | [
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00114/001145136.jpg | [
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00299/002991275.jpg | [
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00612/006121856.jpg | [
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00364/003648824.jpg | [
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00028/000281833.jpg | [
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00287/002872521.jpg | [
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00353/003539111.jpg | [
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00309/003091382.jpg | [
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00146/001464296.jpg | [
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00417/004175610.jpg | [
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00161/001615525.jpg | [
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00167/001673867.jpg | [
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00121/001213010.jpg | [
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00248/002489113.jpg | [
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00024/000244526.jpg | [
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00189/001894469.jpg | [
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00543/005436570.jpg | [
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00625/006254058.jpg | [
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00071/000711553.jpg | [
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00068/000680339.jpg | [
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00613/006139262.jpg | [
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00088/000881847.jpg | [
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00010/000109325.jpg | [
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] | the cilantro with the green leaves | 504 | 336 | 75.57663 |
00512/005120867.jpg | [
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00237/002378622.jpg | [
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] | chicken wing on the right side | 336 | 336 | 92.113556 |
00183/001834310.jpg | [
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00274/002742195.jpg | [
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00074/000744811.jpg | [
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00404/004045866.jpg | [
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00437/004374662.jpg | [
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] | a black strap on the bag | 336 | 336 | 74.439964 |
00358/003587496.jpg | [
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00106/001061340.jpg | [
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00454/004542637.jpg | [
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] | man wearing blue shirt | 336 | 598 | 60.438595 |
00571/005719058.jpg | [
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] | a man in a suit with a tie | 342 | 336 | 69.098831 |
00131/001318234.jpg | [
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] | a bag of cheese | 336 | 407 | 61.72757 |
00150/001503215.jpg | [
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] | a man with a beard | 392 | 336 | 78.603462 |
00034/000349077.jpg | [
216,
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427,
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00095/000954624.jpg | [
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585,
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] | woman on right | 336 | 597 | 62.414635 |
00111/001110698.jpg | [
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217,
179
] | a yellow motorcycle | 336 | 336 | 60.804115 |
00429/004299559.jpg | [
242,
217,
515,
334
] | the hand holding the blood test | 336 | 538 | 72.531906 |
00310/003105900.jpg | [
167,
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287,
328
] | a bottle of bacardi | 336 | 636 | 76.166534 |
00218/002189684.jpg | [
0,
30,
202,
331
] | soldier closest | 336 | 509 | 75.279266 |
End of preview. Expand
in Dataset Viewer.
Paper: Genixer: Empowering Multimodal Large Language Model as a Powerful Data Generator (ECCV 2024)
Arxiv: https://arxiv.org/abs/2312.06731
Description: syn_lcs_filtered60.jsonl and syn_sbu_filtered60.jsonl are two synthetic datasets produced by our Genixer_S model for advancing grounding-based multimodal understanding.
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