Dataset Versions
Versions
2023-11-27 12:47pm
v13
· a year ago
2023-11-24 10:21am
v12
· a year ago
Version5_21Nov2023_01.17PM_PronatedStanding
v9
· a year ago
Version4_20Nov2023_11.35AM_PronatedStanding
v8
· a year ago
Version3_17Nov2023_9.14PM
v5
· a year ago
Version2_9Nov2023_927AM
v2
· a year ago
Version1_8Nov2023_1011PM
v1
· a year ago
v13
2023-11-27 12:47pm
Generated on Nov 27, 2023
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
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5384 Total Images
View All Images
Dataset Split
Train Set 100%
5384Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 512x512
Modify Classes: 2 remapped, 2 dropped
Augmentations
Outputs per training example: 2
Brightness: Between -25% and +25%
Exposure: Between -8% and +8%
Noise: Up to 5% of pixels
Cutout: 9 boxes with 5% size each