201022 Image Dataset
Versions
2022-11-28 3:25pm
v15
· 2 years ago
2022-11-21 3:06pm
v14
· 2 years ago
2022-11-21 3:03pm
v13
· 2 years ago
2022-11-21 3:01pm
v12
· 2 years ago
2022-10-21 1:41pm
v10
· 2 years ago
2022-10-21 1:38pm
v9
· 2 years ago
2022-10-21 1:32pm
v8
· 2 years ago
2022-10-21 1:29pm
v7
· 2 years ago
2022-10-21 1:20pm
v4
· 2 years ago
2022-10-21 1:16pm
v3
· 2 years ago
2022-10-21 1:12pm
v2
· 2 years ago
2022-10-21 1:09pm
v1
· 2 years ago
v10
2022-10-21 1:41pm
Generated on Oct 21, 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
Choose another format.
3300 Total Images
View All Images
Dataset Split
Train Set 100%
3300Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
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