Dataset Versions
Versions
2022-03-16 1:28pm
v27
· 3 years ago
-others- retires
v26
· 3 years ago
2022-03-15 3:52pm
v25
· 3 years ago
added lizards and 30 test images of notLizards
v24
· 3 years ago
2022-03-12 6:43pm
v23
· 3 years ago
2022-03-12 6:29pm
v22
· 3 years ago
2022-03-12 6:28pm
v21
· 3 years ago
smaller images- removed all classes except lizard
v20
· 3 years ago
removed some augmentation steps- added greyscale- changed train-test split
v19
· 3 years ago
added augmentation steps
v18
· 3 years ago
moved most images from validation to train- removed augmentation
v17
· 3 years ago
changed some -others- to new classes -batrachian- crocodilean- bird- turtle-
v16
· 3 years ago
moved some img from test to train - added blurred images
v15
· 3 years ago
ajout de serpents- alligators- COCODILES
v14
· 3 years ago
annotation classe -other- - enleve qques images
v13
· 3 years ago
litteralement une image changeee
v12
· 3 years ago
added some birds
v11
· 3 years ago
better annotations
v10
· 3 years ago
2022-03-06 9:07am added some non lizard images
v9
· 3 years ago
2022-03-05 7:54pm
v8
· 3 years ago
2022-03-05 6:43pm
v6
· 3 years ago
2022-02-28 5:59pm
v5
· 3 years ago
2022-02-28 5:44pm
v4
· 3 years ago
2022-02-28 4:01pm
v2
· 3 years ago
2022-02-28 3:46pm
v1
· 3 years ago
v18
added augmentation steps
Generated on Mar 13, 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.
Other Formats
Choose another format.
1048 Total Images
View All Images
Dataset Split
Train Set 97%
1014Images
Valid Set 0%
4Images
Test Set 3%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 46% Maximum Zoom
Rotation: Between -45° and +45°
Hue: Between -30° and +30°
Noise: Up to 12% of pixels
Cutout: 4 boxes with 12% size each
Bounding Box: Rotation: Between -10° and +10°