ViDoRe Benchmark
Collection
Benchmark for document retrieval using visual features, introduced in the ColPali paper. Datasets are using the QA format.
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10 items
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Updated
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20
Vincent Arsenault
vncntrsnlt
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AI & ML interests
osmatics, lossless tokenization
Recent Activity
new activity
about 2 months ago
google/embeddinggemma-300m:Format conversion onnx, rknn
new activity
about 2 months ago
google/embeddinggemma-300m:Pytorch and onnx format.
new activity
2 months ago
maxious/embeddinggemma-300m-onnx:Updated procedure for ONNX export
Organizations
upvoted
a
collection
over 1 year ago