Dataset Versions
Versions
2022-08-23 8-11am Remove all video sample and revise wrong cover model
v9
· 2 years ago
2022-08-22 4-44pm Remove sample from video -now is the best of example 230822
v7
· 2 years ago
2022-08-22 3-14pm Revise cover all model
v6
· 2 years ago
2022-08-22 12-16pm 2022-08-22 11-44am - Revise cover TMC46HST only- Add example
v5
· 2 years ago
2022-08-20 3:11pm
v3
· 2 years ago
2022-08-19 11:41am
v2
· 2 years ago
v9
2022-08-23 8-11am Remove all video sample and revise wrong cover model
Generated on Aug 23, 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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1518 Total Images
View All Images
Dataset Split
Train Set 88%
1335Images
Valid Set 12%
182Images
Test Set 0%
1Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -27% and +27%
Noise: Up to 6% of pixels
Bounding Box: Blur: Up to 11px