Working with manually pre-processed images

I got the photoshopped wasps without wings/legs/antennae. Some of them are not so clean, so I have excluded those, but most of them are very good.

After experimented with classification on these images, here are some of the results. Using only color histograms, classification improved to about 80%. This is probably due to the color of wings varying from specimen to specimen, the classifier no longer has to deal with this issue.

Using simple HoG features, classification is about 55% accurate. Here is the confusion matrix using a nearest neighbor classifier on only HoG features:

Note that, even though classification results are not very high, they make sense.

Many examples from class 3 are misclassified as class 8 due to their similar body type:

Also class 4 misclassified as class 5:

Using Histogram of Oriented gradients, the image is divided into many overlapping blocks. This type of approach could also be applied to the color histograms. From here we can scan the image for body parts such as abdomen/head/etc... if we have a database of trained parts.