ntut-test Image Dataset
Versions
2024-05-13 12:36am
v11
May 12, 2024
2024-05-07 11:16am
v10
May 7, 2024
2024-05-04 5:46am
v9
May 3, 2024
2024-04-20 1:09pm
v8
Apr 20, 2024
2024-03-23 2:09pm
v7
Mar 23, 2024
2024-03-22 10:39pm
v6
Mar 22, 2024
2024-03-21 2:45pm
v5
Mar 21, 2024
2023-11-16 1:27pm
v2
Nov 16, 2023
2023-11-11 7:13pm
v1
Nov 11, 2023
v2
2023-11-16 1:27pm
Generated on Nov 16, 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.
146 Total Images
View All ImagesDataset Split
Train Set 79%
115Images
Valid Set 10%
14Images
Test Set 12%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
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