{"id":418,"date":"2026-03-02T14:11:37","date_gmt":"2026-03-02T14:11:37","guid":{"rendered":"https:\/\/deeplearningindaba.com\/2026\/?page_id=418"},"modified":"2026-03-02T14:43:35","modified_gmt":"2026-03-02T14:43:35","slug":"african-datasets","status":"publish","type":"page","link":"https:\/\/deeplearningindaba.com\/2026\/african-datasets\/","title":{"rendered":"African Datasets"},"content":{"rendered":"

[et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.27.4″ _module_preset=”default” background_color=”gcid-64653083-5242-43fe-8dfb-3d72435526c0″ use_background_color_gradient=”on” background_color_gradient_type=”circular” background_color_gradient_stops=”gcid-64653083-5242-43fe-8dfb-3d72435526c0 1%|gcid-64653083-5242-43fe-8dfb-3d72435526c0 66%|#002021 100%” background_enable_pattern_style=”on” background_pattern_style=”triangles” background_pattern_color=”rgba(0,0,0,0.05)” min_height=”250px” min_height_tablet=”” min_height_phone=”” min_height_last_edited=”on|desktop” saved_tabs=”all” locked=”off” global_colors_info=”{%22gcid-1a99ec8a-6212-4403-98b3-a3da5117e3eb%22:%91%22background_color_gradient_stops%22%93,%22gcid-primary-color%22:%91%22background_color_gradient_stops%22%93,%22gcid-64653083-5242-43fe-8dfb-3d72435526c0%22:%91%22background_color%22,%22background_color_gradient_stops%22%93}”][et_pb_fullwidth_header title=” African Datasets” _builder_version=”4.27.4″ _module_preset=”default” title_text_align=”center” title_font_size=”60px” subhead_text_align=”center” subhead_font_size=”25px” subhead_letter_spacing=”1px” subhead_line_height=”2em” background_color=”RGBA(255,255,255,0)” height=”250px” custom_margin=”0px||||false|false” subhead_letter_spacing_tablet=”” subhead_letter_spacing_phone=”1px” subhead_letter_spacing_last_edited=”on|phone” subhead_line_height_tablet=”” subhead_line_height_phone=”1.2em” subhead_line_height_last_edited=”on|desktop” global_colors_info=”{}”][\/et_pb_fullwidth_header][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”About” _builder_version=”4.25.1″ _module_preset=”default” custom_padding=”||0px|||” collapsed=”on” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Empowering Africa Through Data Innovation” _builder_version=”4.25.1″ _module_preset=”c33f07d9-41e0-421a-8799-5799df695cce” title_level=”h2″ title_font=”Playfair Display|Playfair Display_weight|||||||” title_text_color=”gcid-heading-color” title_font_size=”50px” title_line_height=”1.2em” title_font_size_tablet=”28px” title_font_size_phone=”20px” global_colors_info=”{}”][\/et_pb_heading][et_pb_text quote_border_color=”gcid-secondary-color” _builder_version=”4.25.1″ _module_preset=”2c55a9c4-feed-423b-9edb-ae0b5b365cac” text_font=”Source Sans Pro|Source Sans Pro_weight|||||||” text_text_color=”gcid-body-color” text_font_size=”16px” text_line_height=”1.75em” link_font=”|Source Sans Pro_weight|||||||” link_text_color=”gcid-primary-color” quote_font=”Playfair Display|Playfair Display_weight|||||||” quote_text_color=”gcid-heading-color” header_font=”Playfair Display|Playfair Display_weight|||||||” header_text_color=”gcid-heading-color” header_font_size=”72px” header_line_height=”1.15em” header_2_font=”Playfair Display|Playfair Display_weight|||||||” header_2_text_color=”gcid-heading-color” header_2_font_size=”50px” header_2_line_height=”1.2em” header_3_font=”Playfair Display|Playfair Display_weight|||||||” header_3_text_color=”gcid-heading-color” header_3_font_size=”32px” header_3_line_height=”1.3em” header_4_font=”Playfair Display|Playfair Display_weight|||||||” header_4_text_color=”gcid-heading-color” header_4_font_size=”24px” header_4_line_height=”1.4em” header_5_font=”Playfair Display|Playfair Display_weight|||||||” header_5_text_color=”gcid-heading-color” header_5_font_size=”18px” header_5_line_height=”1.4em” header_6_font=”Playfair Display|Playfair Display_weight|||||||” header_6_text_color=”gcid-heading-color” header_6_line_height=”1.5em” custom_margin=”||||false|false” text_font_size_tablet=”15px” text_font_size_phone=”14px” text_font_size_last_edited=”on|phone” header_font_size_tablet=”40px” header_font_size_phone=”24px” header_font_size_last_edited=”on|desktop” header_2_font_size_tablet=”28px” header_2_font_size_phone=”20px” header_2_font_size_last_edited=”on|phone” header_3_font_size_tablet=”22px” header_3_font_size_phone=”17px” header_3_font_size_last_edited=”on|phone” header_4_font_size_tablet=”18px” header_4_font_size_phone=”15px” header_4_font_size_last_edited=”on|tablet” header_5_font_size_tablet=”15px” header_5_font_size_phone=”14px” header_5_font_size_last_edited=”on|desktop” header_6_font_size_tablet=”13px” header_6_font_size_phone=”13px” header_6_font_size_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n

The Deep Learning Indaba is delighted to announce a Call for African Datasets as part of the Deep Learning Indaba 2026, taking place in Nigeria. Our mission is to strengthen machine learning (ML) and artificial intelligence (AI) capacity across the African continent. A cornerstone of this vision is the development and sharing of datasets originating from, relevant to, or centered on Africa that reflect the diverse realities, challenges, and opportunities.<\/p>\n

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This initiative positions data not merely as a technical asset, but as a form of digital public infrastructure critical to building equitable, impactful, and globally relevant AI systems. We aim to create a trusted, high-quality repository of Africa-relevant datasets<\/b> that can be used by researchers, practitioners, startups, policymakers, and civil society organizations. These datasets will enable the development of AI solutions tailored to Africa\u2019s unique contexts, challenges, and opportunities. By fostering the collection and sharing of African datasets, we aim to:<\/span><\/p>\n

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Address the current lack of datasets accurately representing African languages, cultures, environments, and challenges.<\/p>\n

[\/et_pb_blurb][et_pb_blurb title=”Catalyze Collaboration” use_icon=”on” font_icon=”||fa||900″ icon_color=”gcid-primary-color” image_icon_width=”32px” icon_alignment=”left” content_max_width=”100%” _builder_version=”4.24.3″ _module_preset=”212b201d-2c34-41bd-936c-851b7357d08b” header_font=”Playfair Display|Playfair Display_weight|||||||” header_text_color=”gcid-heading-color” header_font_size=”18px” header_line_height=”1.4em” body_font=”Source Sans Pro|Source Sans Pro_weight|||||||” body_text_color=”gcid-body-color” body_font_size=”16px” body_line_height=”1.75em” body_link_text_color=”gcid-primary-color” body_link_font_size=”14px” background_mask_style=”arch” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”||||false|false” animation=”off” header_font_size_tablet=”15px” header_font_size_phone=”13px” header_font_size_last_edited=”on|phone” body_font_size_tablet=”15px” body_font_size_phone=”14px” body_font_size_last_edited=”on|desktop” border_radii_image=”on|6px|6px|6px|6px” locked=”off” global_colors_info=”{%22gcid-heading-color%22:%91%22header_text_color%22,%22header_text_color%22,%22header_text_color%22,%22header_text_color%22,%22header_text_color%22%93,%22gcid-body-color%22:%91%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22%93,%22gcid-primary-color%22:%91%22icon_color%22%93}”]<\/p>\n

Build a community of contributors and users committed to advancing African AI.<\/p>\n

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Provide researchers and developers with the tools to create solutions that are not only innovative but also contextually relevant and impactful.<\/p>\n

[\/et_pb_blurb][et_pb_blurb title=”Promote Ethical Data Use” use_icon=”on” font_icon=”||fa||900″ icon_color=”gcid-primary-color” image_icon_width=”32px” icon_alignment=”left” content_max_width=”100%” _builder_version=”4.24.3″ _module_preset=”212b201d-2c34-41bd-936c-851b7357d08b” header_font=”Playfair Display|Playfair Display_weight|||||||” header_text_color=”gcid-heading-color” header_font_size=”18px” header_line_height=”1.4em” body_font=”Source Sans Pro|Source Sans Pro_weight|||||||” body_text_color=”gcid-body-color” body_font_size=”16px” body_line_height=”1.75em” body_link_text_color=”gcid-primary-color” body_link_font_size=”14px” background_mask_style=”arch” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”||||false|false” animation=”off” header_font_size_tablet=”15px” header_font_size_phone=”13px” header_font_size_last_edited=”on|phone” body_font_size_tablet=”15px” body_font_size_phone=”14px” body_font_size_last_edited=”on|desktop” border_radii_image=”on|6px|6px|6px|6px” locked=”off” global_colors_info=”{%22gcid-heading-color%22:%91%22header_text_color%22,%22header_text_color%22,%22header_text_color%22,%22header_text_color%22,%22header_text_color%22%93,%22gcid-body-color%22:%91%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22%93,%22gcid-primary-color%22:%91%22icon_color%22%93}”]<\/p>\n

Ensure data collection and usage prioritize privacy, consent, and equity, setting a gold standard for ethical AI development.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ theme_builder_area=”post_content” _builder_version=”4.27.4″ _module_preset=”default”][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” theme_builder_area=”post_content”][et_pb_column _builder_version=”4.27.4″ _module_preset=”default” type=”4_4″ theme_builder_area=”post_content”][et_pb_heading title=”Why this Matters ” _builder_version=”4.27.4″ _module_preset=”c33f07d9-41e0-421a-8799-5799df695cce” title_level=”h2″ title_font=”Playfair Display|Playfair Display_weight|||||||” title_text_align=”center” title_text_color=”gcid-heading-color” title_font_size=”50px” title_line_height=”1.2em” hover_enabled=”0″ title_font_size_tablet=”28px” title_font_size_phone=”20px” locked=”off” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″][\/et_pb_heading][et_pb_text quote_border_color=”gcid-secondary-color” _builder_version=”4.25.1″ _module_preset=”2c55a9c4-feed-423b-9edb-ae0b5b365cac” text_font=”Source Sans Pro|Source Sans Pro_weight|||||||” text_text_color=”gcid-body-color” text_font_size=”16px” text_line_height=”1.75em” link_font=”|Source Sans Pro_weight|||||||” link_text_color=”gcid-primary-color” quote_font=”Playfair Display|Playfair Display_weight|||||||” quote_text_color=”gcid-heading-color” header_font=”Playfair Display|Playfair Display_weight|||||||” header_text_color=”gcid-heading-color” header_font_size=”72px” header_line_height=”1.15em” header_2_font=”Playfair Display|Playfair Display_weight|||||||” header_2_text_color=”gcid-heading-color” header_2_font_size=”50px” header_2_line_height=”1.2em” header_3_font=”Playfair Display|Playfair Display_weight|||||||” header_3_text_color=”gcid-heading-color” header_3_font_size=”32px” header_3_line_height=”1.3em” header_4_font=”Playfair Display|Playfair Display_weight|||||||” header_4_text_color=”gcid-heading-color” header_4_font_size=”24px” header_4_line_height=”1.4em” header_5_font=”Playfair Display|Playfair Display_weight|||||||” header_5_text_color=”gcid-heading-color” header_5_font_size=”18px” header_5_line_height=”1.4em” header_6_font=”Playfair Display|Playfair Display_weight|||||||” header_6_text_color=”gcid-heading-color” header_6_line_height=”1.5em” custom_margin=”||||false|false” text_font_size_tablet=”15px” text_font_size_phone=”14px” text_font_size_last_edited=”on|phone” header_font_size_tablet=”40px” header_font_size_phone=”24px” header_font_size_last_edited=”on|desktop” header_2_font_size_tablet=”28px” header_2_font_size_phone=”20px” header_2_font_size_last_edited=”on|phone” header_3_font_size_tablet=”22px” header_3_font_size_phone=”17px” header_3_font_size_last_edited=”on|phone” header_4_font_size_tablet=”18px” header_4_font_size_phone=”15px” header_4_font_size_last_edited=”on|tablet” header_5_font_size_tablet=”15px” header_5_font_size_phone=”14px” header_5_font_size_last_edited=”on|desktop” header_6_font_size_tablet=”13px” header_6_font_size_phone=”13px” header_6_font_size_last_edited=”on|desktop” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n

Data is the lifeblood of AI and machine learning. Yet, much of the data used to train today\u2019s systems comes from contexts that do not reflect the African experience. Without representative data, the solutions developed may fail to address the continent\u2019s specific needs or perpetuate bias and inequality.
This initiative is more than just a call for data; it is a call to action for inclusivity and equity in the global AI landscape. African datasets will:<\/p>\n

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Ensure that Africa\u2019s diversity is reflected in AI models, contributing to global technological progress that benefits all.<\/p>\n

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Equip researchers with the tools to tackle Africa-specific challenges in health, education, agriculture, and urban development.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.24.3″ _module_preset=”6ee989c6-ce83-4f88-8565-5aa92b2b8c6a” custom_padding=”80px|30px|30px|30px|false|true” custom_padding_tablet=”30px|30px|30px|30px|false|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|desktop” border_radii=”on|6px|6px|6px|6px” border_width_all=”2px” border_color_all=”rgba(0,0,0,0.05)” box_shadow_style=”preset3″ box_shadow_vertical=”24px” box_shadow_blur=”72px” box_shadow_spread=”-12px” box_shadow_color=”RGBA(255,255,255,0)” global_colors_info=”{%22gcid-36fd78a7-34bc-404d-873c-dafa34efaae5%22:%91%22button_text_color%22,%22button_text_color%22,%22button_text_color%22,%22button_text_color%22,%22button_text_color%22,%22button_text_color%22%93}” border_color_all__hover=”#FFFFFF” border_color_all__hover_enabled=”on|desktop” box_shadow_color__hover=”rgba(0,0,0,0.12)” box_shadow_color__hover_enabled=”on|hover” theme_builder_area=”post_content”][et_pb_blurb title=”Shape Policy and Governance” use_icon=”on” font_icon=”||fa||900″ icon_color=”gcid-primary-color” image_icon_width=”32px” icon_alignment=”left” content_max_width=”100%” _builder_version=”4.24.3″ _module_preset=”212b201d-2c34-41bd-936c-851b7357d08b” header_font=”Playfair Display|Playfair Display_weight|||||||” header_text_color=”gcid-heading-color” header_font_size=”18px” header_line_height=”1.4em” body_font=”Source Sans Pro|Source Sans Pro_weight|||||||” body_text_color=”gcid-body-color” body_font_size=”16px” body_line_height=”1.75em” body_link_text_color=”gcid-primary-color” body_link_font_size=”14px” background_mask_style=”arch” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”||||false|false” animation=”off” header_font_size_tablet=”15px” header_font_size_phone=”13px” header_font_size_last_edited=”on|phone” body_font_size_tablet=”15px” body_font_size_phone=”14px” body_font_size_last_edited=”on|desktop” border_radii_image=”on|6px|6px|6px|6px” locked=”off” global_colors_info=”{%22gcid-heading-color%22:%91%22header_text_color%22,%22header_text_color%22,%22header_text_color%22,%22header_text_color%22,%22header_text_color%22%93,%22gcid-body-color%22:%91%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22,%22body_text_color%22%93,%22gcid-primary-color%22:%91%22icon_color%22%93}” theme_builder_area=”post_content”]<\/p>\n

Support evidence-based decision-making and create policies rooted in accurate, local data.<\/p>\n

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We invite contributions from individuals, academic institutions, private organizations, NGOs, and government bodies. Submissions can include, but are not limited to, datasets in the following domains:<\/p>\n

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Urban planning, transportation, and geospatial data for infrastructure development.<\/p>\n

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Text, audio, and video datasets representing African languages, dialects, and cultural heritage.<\/p>\n

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Biodiversity records, conservation data, and climate information<\/p>\n

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Public health records, medical imaging, disease surveillance, and epidemiology.<\/p>\n

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Data on crop health, soil conditions, weather patterns, and resource management.<\/p>\n

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Learning outcomes, digital education tools, and multilingual datasets.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” theme_builder_area=”post_content”][et_pb_column _builder_version=”4.27.4″ _module_preset=”default” type=”4_4″ theme_builder_area=”post_content”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” theme_builder_area=”post_content” hover_enabled=”0″ sticky_enabled=”0″]<\/p>\n

NB:<\/i><\/b> Submissions that cut across multiple domains or disciplines are welcome and encouraged. <\/span><\/i>All contributions must adhere to ethical guidelines, including data anonymization, informed consent, and compliance with local and international data governance standards.<\/span><\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” theme_builder_area=”post_content” hover_enabled=”0″ sticky_enabled=”0″]<\/p>\n

Innovative Focus Areas<\/h2>\n

<\/span><\/p>\n

To push the frontier of African AI, we especially encourage datasets that:
<\/span><\/p>\n