Dataset Versions
Versions
2024-09-08 6:04am
v10
· 2 months ago
Yolo_V5_with_Augmentation
v9
· 2 months ago
YOLO_V9_with_Aug
v8
· 3 months ago
YOLO_V9_without_Aug
v7
· 3 months ago
YOLO_V8_with_Aug
v6
· 3 months ago
YOLO_V8_without_aug
v5
· 3 months ago
YOLO_NAS_with_Aug
v2
· 3 months ago
YOLO_NAS_without_Aug
v1
· 3 months ago
v6
YOLO_V8_with_Aug
Generated on Aug 15, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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.
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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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5319 Total Images
View All Images
Dataset Split
Train Set 87%
4631Images
Valid Set 9%
463Images
Test Set 4%
225Images
Preprocessing
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Brightness: Between -15% and +15%