CUSTOMv2 Image Dataset
Versions
2023-02-22 10:35am
v12
Feb 22, 2023
2023-02-21 11:14pm
v11
Feb 21, 2023
2023-02-21 11:06pm
v10
Feb 21, 2023
2023-02-21 6:35pm
v9
Feb 21, 2023
2023-02-21 5:34pm
v7
Feb 21, 2023
2023-02-21 5:16pm
v6
Feb 21, 2023
2023-02-21 1:09pm
v5
Feb 21, 2023
2023-02-11 6-53pm
v4
Feb 11, 2023
2023-02-09 6:01pm
v3
Feb 9, 2023
2023-02-04 8:40pm
v2
Feb 4, 2023
v6
2023-02-21 5:16pm
Generated on Feb 21, 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.
2014 Total Images
View All Images
Dataset Split
Train Set 98%
1974Images
Valid Set 1%
30Images
Test Set 0%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Hue: Between -10° and +10°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 2% of pixels
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