alphabetv2 Image Dataset
Versions
2024-03-28 9:07pm
v9
Mar 28, 2024
2024-03-28 8:53pm
v8
Mar 28, 2024
2024-03-27 5:13pm
v7
Mar 27, 2024
2024-03-22 12:23pm
v6
Mar 22, 2024
2024-03-22 10:12am
v5
Mar 22, 2024
2024-03-19 8:46pm
v4
Mar 19, 2024
2024-03-19 8:46pm
v3
Mar 19, 2024
2024-03-13 11:08pm
v2
Mar 13, 2024
2024-02-25 9:56pm
v1
Feb 25, 2024
v6
2024-03-22 12:23pm
Generated on Mar 22, 2024
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.
4189 Total Images
View All Images
Dataset Split
Train Set 90%
3765Images
Valid Set 6%
262Images
Test Set 4%
162Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Blur: Up to 12.1px
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Noise: Up to 4.11% of pixels
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