Dataset Versions
Versions
Tony Dataset - 320x320
v23
· 3 years ago
Dataset - YOLOv4 - Top 3 Image Level - 416px
v22
· 3 years ago
Dataset - YOLOv4 - Top 3 Image Level - 608px
v21
· 3 years ago
Dataset - Top 3 All Level Augmentation
v20
· 3 years ago
Dataset - Top 3 BB Level Augmentation
v19
· 3 years ago
Dataset - Top 3 Image Level Augmentation
v18
· 3 years ago
Sensitivity Analysis - BB - Noise
v17
· 3 years ago
Sensitivity Analysis - BB - Exposure
v16
· 3 years ago
Sensitivity Analysis - BB - Brightness
v15
· 3 years ago
Sensitivity Analysis - BB - Blur
v14
· 3 years ago
Sensitivity Analysis - BB - Flip
v13
· 3 years ago
Sensitivity Analysis - Hue
v12
· 3 years ago
Sensitivity Analysis - Cutout
v11
· 3 years ago
Sensitivity Analysis - Noise
v10
· 3 years ago
Sensitivity Analysis - Blur
v9
· 3 years ago
Sensitivity Analysis - Exposure
v8
· 3 years ago
Sensitivity Analysis - Brightness
v7
· 3 years ago
Sensitivity Analysis - Crop
v6
· 3 years ago
Sensitivity Analysis - Flip
v5
· 3 years ago
Sensitivity Analysis - Baseline
v4
· 3 years ago
2022-02-08 3:33pm
v3
· 3 years ago
2022-02-07 11:12am
v2
· 3 years ago
2022-02-03 10:54am
v1
· 3 years ago
v12
Sensitivity Analysis - Hue
Generated on Feb 10, 2022
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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3562 Total Images
View All Images
Dataset Split
Train Set 87%
3104Images
Valid Set 8%
301Images
Test Set 4%
157Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Hue: Between -25° and +25°