Nami Image Dataset
Versions
AnnotatedGrayUnseenHimba60
v16
Jan 26, 2024
AnnotatedUnseenHimba60
v15
Jan 26, 2024
2TilingNoMosaicNoBboxAugs
v11
Jan 24, 2024
NoTilingNoMosaicNoBboxAugs
v10
Jan 21, 2024
RAW_EXPORT
v7
Dec 11, 2023
4Tiling2809
v6
Nov 13, 2023
3Tiling1454
v5
Nov 13, 2023
NoTiling708
v3
Nov 13, 2023
2Tiling2233
v1
Oct 11, 2023
v1
2Tiling2233
Generated on Oct 11, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
2233 Total Images
View All Images
Dataset Split
Train Set 93%
2073Images
Valid Set 3%
77Images
Test Set 4%
83Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -15% and +15%
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