Dataset Versions
Versions
angry
v13
· a year ago
final
v12
· a year ago
org_data_416x416
v11
· a year ago
dumb
v10
· 2 years ago
test data train 1
v9
· 2 years ago
org_data_640
v8
· 2 years ago
data train 2
v7
· 2 years ago
2023-04-20 2:49pm
v6
· 2 years ago
2023-04-20 2:44pm
v5
· 2 years ago
test augmentation 2
v2
· 2 years ago
test augmentation 1
v1
· 2 years ago
v1
test augmentation 1
Generated on Apr 20, 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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1200 Total Images
View All Images
Dataset Split
Train Set 91%
1089Images
Valid Set 9%
111Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 15% Minimum Zoom, 40% Maximum Zoom
Cutout: 3 boxes with 31% size each
Mosaic: Applied
Bounding Box: Crop: 15% Minimum Zoom, 40% Maximum Zoom
Bounding Box: Rotation: Between -10° and +10°