nzta_cropped Image Dataset
Versions
no_augmentation
v15
Jan 16, 2022
1500_training_640size
v14
Jan 12, 2022
1424_training_640size
v13
Jan 4, 2022
1735_training_480size
v12
Dec 31, 2021
1735_training_640size
v11
Dec 31, 2021
1500_training_480size
v10
Dec 24, 2021
1500_trianing
v9
Dec 24, 2021
2021-12-22 1:49pm
v8
Dec 22, 2021
2021-12-21 5:07pm
v7
Dec 21, 2021
2021-12-15 6:02pm
v5
Dec 15, 2021
nzta_cropped_1000
v4
Dec 14, 2021
nzta_cropped_640x640
v3
Dec 12, 2021
nzta_cropped_128x128
v2
Dec 12, 2021
nzta_cropped_80x80
v1
Dec 12, 2021
v10
1500_training_480size
Generated on Dec 24, 2021
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.
3693 Total Images
View All ImagesDataset Split
Train Set 90%
3309Images
Valid Set 9%
329Images
Test Set 1%
55Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 480x480
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
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