MOD_VISIOPE Image Dataset
Versions
2022-10-22 11:05am
v10
Oct 22, 2022
Chess_trials_different_samples_v3
v9
Jul 2, 2022
Chess_trials_different_samples_v2
v7
Jul 2, 2022
Chess_trials_different_samples
v6
Jul 2, 2022
Chess_dataset_augmented_rebalanced
v4
May 15, 2022
Chess_dataset_augmented_final
v3
May 15, 2022
Chess_dataset_augmented
v2
May 15, 2022
Chess_new_ds
v1
May 8, 2022
v4
Chess_dataset_augmented_rebalanced
Generated on May 15, 2022
Popular Download Formats
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.
Other Formats
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1907 Total Images
View All Images
Dataset Split
Train Set 90%
1707Images
Valid Set 5%
100Images
Test Set 5%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 5% of pixels
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